Relevant bibliographies by topics / Artificial debt

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial debt'

Author: Grafiati
Published: 28 May 2022
Last updated: 19 July 2025

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Journal articles on the topic "Artificial debt"

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Yahiya, Ahmad, and Bani Ahmad. "Automated debt recovery systems: Harnessing AI for enhanced performance." Journal of Infrastructure, Policy and Development 8, no. 7 (2024): 4893. http://dx.doi.org/10.24294/jipd.v8i7.4893.

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Amidst an upsurge in the quantity of delinquent loans, the financial industry is experiencing a fundamental transformation in the approaches utilised for debt recovery. The debt collection process is presently undergoing automation and improvement through the utilisation of Artificial Intelligence (AI), an emergent technology that holds the potential to revolutionise this sector. By leveraging machine learning, natural language processing, and predictive analytics, automated debt recovery systems analyse vast quantities of data, generate forecasts regarding the likelihood of recovery, and streamline operational processes. Debt collection systems powered by AI are anticipated to be compliant, precise, and effective. On the other hand, conventional approaches are linked to increasing expenditures and inefficiencies in operations. These solutions facilitate efficient resource allocation, customised communication, and rapid data analysis, all while minimising the need for human intervention. Significant progress has been made in data analytics, predictive modelling, and decision-making through the application of artificial intelligence (AI) in debt recovery; this has the potential to revolutionize the financial sector’s approach to debt management. The findings of the research underscore the criticality of artificial intelligence (AI) in attaining efficacy and precision, in addition to the imperative of a data-centric framework to fundamentally reshape approaches to debt collection. In conclusion, artificial intelligence possesses the capacity to profoundly transform the existing approaches utilized in debt management, thereby guaranteeing financial institutions’ sustained profitability and efficacy. The application of machine learning methodologies, including predictive modelling and logistic regression, signifies the potential of the system.
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Sonawane, Tejas, Vatsalya Tiwari, and Dania Shah. "Kuber: An AI-Driven Finance Management Solution Integrating Generative LLMs for Personalized Advisory." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3752–57. https://doi.org/10.22214/ijraset.2025.69138.

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Abstract: Kuber is a personalized finance management platform that leverages artificial intelligence to deliver tailored financial advice. This paper presents the design and evaluation of Kuber, focusing on its AI-driven advisory engine (using Google’s Gemini model) and finance management methodology. The system collects a user’s financial information – income, expenses, debts, assets, and goals – and generates customized recommendations for budgeting, saving, debt repayment, and investment. Using advanced AI capabilities for data analysis and natural language generation, Kuber bridges the gap between complex financial planning and user-friendly advice. A case study of a 19-year-old user with moderate income and debt is discussed to illustrate how Kuber formulates an optimized plan: the user achieves a 70% savings rate, expedited debt clearance, and guided investments to meet both short-term purchases and long-term growth targets. The results demonstrate that AI-driven personalized advisory can make sound financial planning accessible and effective for individuals.
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Kovalenko, Dmytro, Olga Afanasieva, Nani Zabuta, Tetiana Boiko, and Rosen Rosenov Baltov. "Model of Assessing the Overdue Debts in a Commercial Bank Using Neuro-Fuzzy Technologies." Journal of Risk and Financial Management 14, no. 5 (2021): 216. http://dx.doi.org/10.3390/jrfm14050216.

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This article considers the problems of overdue credit debt and the creation of effective methods to manage problem debts in banks. The purpose of this paper is to study the problem of overdue credit debt and create effective methods to manage problem debts in financial institutions. Based on a combination of tools of fuzzy logic theory and artificial neural networks, an economic-mathematical model of collection scoring was built. Kohonen self-organizing maps were used to set the parameters of membership functions in the process of fuzzification of quantitative variables of the built model. Data were taken from the official websites of four Bulgarian banks for 2015–2019. The volume of the prepared sample amounted to 1000 credit agreements with active overdue payments. The practical value of the built model of collection scoring for the recovery of overdue debt lies in the possibility to make recommendations for work with each segment of the portfolio of overdue loans in accordance with the calculated level of credit risk. The introduction of credit risk assessment models based on neuro-fuzzy technologies in the work of financial institutions will have a positive impact on the financial results of lending activities of banks.
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Findler, Nicholas V. "The debt of artificial intelligence to John von Neumann." Artificial Intelligence Review 2, no. 4 (1988): 311–12. http://dx.doi.org/10.1007/bf00138819.

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Dmitrieva, O. "Deformation of Fiscal Policy and Debt Management as a Result of the Stabilization Fund Forming." Voprosy Ekonomiki, no. 3 (March 20, 2013): 20–32. http://dx.doi.org/10.32609/0042-8736-2013-3-20-32.

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The article shows the systematic mistake in the form of underestimation of project budget revenues. It is accompanied by the artificial increase in budget deficit which causes excessive borrowings and debt growth while in fact budget surplus takes place. It is proved that state borrowing and saving of assets in the sovereign funds (Reserve Fund and National Wealth Fund) lead to a combination of negative effects related to both deficit and surplus budgets: artificial slowdown of economic growth and increase in expenses for debt service.
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Ramesh Kumar, Sowmya. "Navigating Technical Debt in the Evolving Landscape of Machine Learning and Artificial Intelligence." International Journal of Science and Research (IJSR) 10, no. 4 (2021): 1370–71. http://dx.doi.org/10.21275/sr24212235641.

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Chuklova, Elena Valerievna, and Aleksandr V. Babich. "Abuse of right, unequal counter-execution, artificial debt in the context of challenging of debtor’s transactions under bankruptcy proceedings." Jus strictum, no. 3 (September 30, 2024): 27–33. http://dx.doi.org/10.18323/3034-2945-2024-3-58-4.

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The ambiguity of interpretation of the rules applied when challenging transactions within the framework of the initiated bankruptcy case and the absence of clear criteria for the grounds for challenging debtor’s transactions determine the reasonability of a deep comprehensive theoretical study of such categories as abuse of rights, unequal counter-execution, and artificial debt. The conducted analysis of judicial practice allowed concluding that invalid debtor’s transactions concluded with abuse of rights in order to create artificial debt or with unequal counter-execution are identified by signs, based on the personal conviction of a judge, but still allowing them to be established with a high degree of reliability. Such signs, in particular, include: economic inexpediency of a transaction, when, for example, in the presence of financial difficulties, the debtor sold the capital goods, thereby depriving himself of his main activity and profit; transfer of funds by the debtor in transit through friendly organizations, returned to the debtor in the form of a loan from a controlled organization; raising of a cash loan from individuals who do not have the financial ability to provide a loan; the supplier’s inability to deliver goods for which the debtor has incurred a debt; the absence of information about the transaction in the accounting statements of the debtor and its counterparty, etc. The authors believe that the absence of grounds for liability for intentional actions to create artificial debt and abuse of rights, the absence of clear criteria for the equivalence of counter-execution lead to the fact that unfair participants in economic turnover receive an unjustified benefit. In this regard, the authors propose to define more clearly in the law special grounds for challenging debtor’s transactions for the intentional creation of artificial credit debt, the withdrawal of debtor’s assets, and to establish grounds for liability and consequences for unfair persons.
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Pan, Nai Hsin, Ming Li Lee, and Chia Wei Chang. "Construction Financial Crisis Warning Model Using Data Mining." Advanced Materials Research 271-273 (July 2011): 684–88. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.684.

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This paper employs artificial neural network of data mining and decision tree algorithm to build financial crisis warning model. The research results show that, forecasting performance of artificial neural network is better than that of decision tree model, hence, “financial statement average warning model” established through artificial neural network based on the average revenue of the past three years before financial crisis has better forecasting performance than the “annual report forecast model”. Factor analysis is employed to select common factor in 1 year before financial crisis, and the critical variables of financial crisis are found to be: debt-to-equity ratio, quick ratio, borrowing dependence, inventory turnover ratio, and earnings per share. According to the decision tree rule, variables differentiable to financial crisis warning are debt-to-equity ratio, earnings per share, and borrowing dependence.
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Johnson, Jeffrey. "Addressing Water Loss With Artificial Intelligence." Opflow 51, no. 1 (2025): 8–9. https://doi.org/10.1002/opfl.2045.

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Many local leaders are just beginning to acknowledge how aging infrastructure, climate change, and population growth are putting additional pressure on their water supplies. The financial impact is substantial. US municipalities and local water utilities are facing budget shortfalls that are either passed through to residents via rate increases or are ignored, creating a vicious cycle of reduced maintenance, higher water loss, and increasing debt. The result is that citizens pay more for less water and, under current conditions, will continue to do so until effective solutions are found.
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Fioramanti, Marco. "Predicting sovereign debt crises using artificial neural networks: A comparative approach." Journal of Financial Stability 4, no. 2 (2008): 149–64. http://dx.doi.org/10.1016/j.jfs.2008.01.001.

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Dissertations / Theses on the topic "Artificial debt"

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Дутченко, Олег Миколайович, Олег Николаевич Дутченко, Oleh Mykolaiovych Dutchenko, Олена Олегівна Дутченко, Елена Олеговна Дутченко та Olena Olehivna Dutchenko. "Вплив кредитних зобов’язань суб’єктів господарювання на розвиток економіки". Thesis, Українська академія банківської справи Національного банку України, 2011. http://essuir.sumdu.edu.ua/handle/123456789/62641.

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Durowoju, Michael Oluwadamilare. "Application of artificial neural network for the structural integrity assessment of dent in pipelines." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3807.

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Dent in a pipelines have been of major concern to pipeline operators for years because its severity cannot be easily determined. For many years dent severity was based on dent depth alone. This has led to unnecessary repairs and removal from service incurring considerable loss in revenue. Studies by researchers have indicated that other factors like pipe geometry, pipe material, dent geometry and pressure cycling could influence the severity of the dent in terms of the fatigue life reduction. Dent severity has been studied using dent depth based assessment, strain based assessment and fatigue assessment . The dent depth over the years has been the major determinant of dent severity. Recent studies have shown that the strain in the pipeline could be a better indicator of dent severity using the static approach. The most common fatigue approach is the stress life S-N approach. This involves extracting stress data either through experimental procedure or finite element analysis and using it with an appropriate S-N curve to determine the fatigue life One of the major challenges faced in S-N fatigue approach today is determining the stress concentration factors (SCF) associated with the dents. These SCFs are used with an appropriate SN curve to calculate the fatigue life. This, over the years and currently is calculated empirically or using finite element (FE) analysis. The cost of running experimental program can be very expensive and numerical analysis can be time-consuming. It is not sustainable to keep using finite element analysis to calculate the SCF associated with every dent. An algorithm is needed to be able to predict strain and SCF without running an expensive experimental program or running an extensive finite element study This Research presents an alternative and a sustainable method for calculating the SCF, the maximum strain and the rerounding depth in pipelines with dent. The method involves gathering a large database of SCFs, strains and rerounding depths through a finite element study on a parametric range of industry standard pipes . These parametric datasets focuses on the effects of pipe geometry, dent geometry, material properties and pressure range on the prediction of the strain and stresses which were not systematically considered by other researchers. These parametric datasets are then used to train an artificial neural network (ANN) that predicts the rerounding depth,maximum strain and the SCF. The ANN presents an accurate and sustainable alternative to the current method used for dent assessment. It’s application would reduce the cost and time taken in assessing dent severity. The accuracy of the ANN is dependent on the amount of training data. In order to create the large database of results, a parametric design language (APDL) was created for easy creation and recreation of models. This parametric design language helped in the creation of 256 FE models which was sufficient enough to create the large database of SCF and other data needed to train the ANN Two types of indenters (Dome and Bar) are used to simulate circumferentially and longitudinally aligned dents. Four different dent depths ranging from 2% d/D to 10% d/D are also simulated to investigate the effect of dent geometry. Four different pipe grades (X46, X65, X80, and X100) are analysed to investigate the effect of pipe materials. Similarly, eight pipes with a different diameter to thickness ratio (D/t) ranging from 18-96 are analysed to investigate the effect of pipe geometry. The pipe is pressured up to 50% and 72% SMYS to investigate the effect of pressure range. The results from this study show that all the investigated parameters influence the results in various ways. Results show that longitudinally aligned dents have higher stress concentrations factors compared to circumferential dents of similar dent depth. Similarly, pipes with higher diameter to thickness ratios D/t have higher stress concentration factor compared to pipes with lower D/t .The FE result was validated with experimental and analytical results and a good correlation was seen with minimal percentage error. The FE results from the parametric study was fed into an ANN model to train the network. The network was trained with different numbers of the processing element and activation function to find the model with the best performance. The ANN prediction gave a good correlation with the FE results.
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Jarness, Samuel, and Elin Erlandsson. "Artificiell Intelligens och Ledarens Individuella Meningsskapande : En studie som belyser AI-diskursen, dess antaganden och dess eventuella inflytande på det individuella meningsskapandet." Thesis, Linnéuniversitetet, Institutionen för organisation och entreprenörskap (OE), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104463.

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Teknologisk utveckling har under åren lett till många innovativa lösningar som fått mer och mer plats i samhället. Inom den teknologiska utvecklingen ligger det stort fokus på artificiell intelligens (AI) och de möjligheter tekniken kan bidra med i framtiden. AI-tekniken har idag många intressenter där både privatpersoner och företag ingår. Då tekniken har många olika användningsområden blev det intressant för oss som forskare att undersöka hur denna teknik uppfattas samt implementeras i relation till organisationer. Eftersom uppfattningen om AI och dess konsekvenser både etableras inom diskurser samt mellan individer blev det relevant för oss att belysa båda delarna. Den uppfattning som etableras inom AI-diskursen är att AI skapar disruptiva förändrar som i sin tur förändrar ledarskap. Det vi märker är att de aktörer som uttalar sig om dessa förändringar inte för ett djupare resonemang kring hur dessa faktorer bör hanteras. Konsekvenserna blir att alternativen uppfattas som något förenklade vilket i sin tur skapar problem för de ledare som försöker skapa mening kring tekniken. För att studera förhållandet mellan AI-diskursen och ledares individuella meningsskapande genomför vi en tvåfaldig studie. Studien omfattar därav två delstudier där vi genomför en diskursanalys samt en intervjustudie. Diskursanalysens visar att AI-diskursen gör antaganden om företagsekonomiska frågor som kan nyanseras genom att jämföra den med den företagsekonomiska diskursen. Intervjustudiens visar att ledares individuella meningsskapande förhåller sig till flera olika faktorer där deras erfarenheter och sociala omgivning utgör en avgörande faktor. Delstudiernas insikter bidrar till den helhetsbild vi vill belysa och gör det möjligt att sätta diskurser i relation till individuella människor. Vi ser att ledare förhåller sig till flera olika faktorer när de skapar mening kring AI samt att de främst förhåller sig till de faktorer som haft störst betydelse för dem. Eftersom ledarna har större erfarenhet av att ingå i en organisation än att implementera AI ser vi att de förhåller sig till både AI- och den företagsekonomiska diskursen när de skapar mening kring AI. Ledare förhåller sig därav till flera diskurser som de använder som relaterbara ramar när de skapar mening kring AI.
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Kulanovic, Aneta. "Det offentliga ledarskapet av artificiell intelligens : Hur kan utmaningar med AI hanteras?" Thesis, Linköpings universitet, Statsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-161741.

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This thesis examines how the public leadership is challenged by artificial intelligence and how public organisations in Sweden should lead their work according to this. The purpose focuses on how research defines artificial intelligence and which challenges that can be found, also what Sweden’s policy documents and leaders in public organisations highlights as important topics with AI and leadership. The thesis starts with the methodological and theoretical approaches. The theoretical framework is based on collaborative leadership which is mostly built on ‘t Hart, Torfing and Haugs views on collaborative leadership. The analysis consists of three parts. The first part focuses on what AI is and what its challenges are, according to international research. The second part focuses on what Sweden’s policy documents highlights about AI and what that means to public leadership. Lastly, the third part focuses on how leaders within public organisations reason with challenges that exist with AI and leadership. The thesis result is that to be able to overcome the challenges that exist with AI in public organisations leadership is essential. The analysis of the research articles, policy documents and leaders statements comes to the conclusion that collaborative leadership is the most efficient and productive way to overcome the challenges that are identified.
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Fragoso, Larissa Silveira de Mendonça. "Avaliação da rugosidade do esmalte dental apos microabrasão e polimento e da microdureza superficial apos microabrasão, polimento e armazenamento em saliva artificial." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/289452.

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Orientador: Jose Roberto Lovadino<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba<br>Made available in DSpace on 2018-08-15T04:10:10Z (GMT). No. of bitstreams: 1 Fragoso_LarissaSilveiradeMendonca_D.pdf: 5875751 bytes, checksum: fa7d309c1cc22de111d7f7c71f8d04c5 (MD5) Previous issue date: 2010<br>Resumo: Os objetivos deste estudo "in vitro" foram: 1) avaliar o efeito da microabrasão sobre a microdureza e a rugosidade do esmalte dental bovino, bem como a ação do polimento realizado com pastas apropriadas no esmalte abrasionado; 2) avaliar o armazenamento em saliva artificial, em diferentes tempos de ação sobre a microdureza do esmalte dental bovino. Para isso, foram utilizados 144 blocos de esmalte bovino (6,0mm x 6,0mm) que constituíram os grupos: I- tratamento com ácido fosfórico a 37% e pedra pomes (n=48), II- tratamento com Opalustre (Ultradent) (n=48), III- tratamento com Whiteness RM (FGM) (n=48). Os três grupos foram divididos em três subgrupos, de acordo com os seguintes tratamentos: a) polimento com pasta diamantada; b) polimento com pasta profilática fluoretada e c) sem polimento (controle). Foram realizados ensaios de microdureza nos seguintes tempos estabelecidos: 1) inicial (antes da realização da microabrasão e polimento); 2) após a realização da microabrasão com e sem polimento; 3) após a realização da microabrasão com e sem polimento e imersão em saliva artificial por períodos de 24 horas; 4) após a realização da microabrasão com e sem polimento e imersão em saliva artificial por 7 dias. Foram realizados ensaios de rugosidade nos seguintes tempos pré-estabelecidos: 1) inicial (antes da realização da microabrasão e polimento) e final (após a realização da microabrasão com e sem polimento (controle). Os dados obtidos foram submetidos à análise estatística ANOVA "dois fatores", e teste de Tukey com significância de 5% para microdureza e rugosidade. Os resultados mostraram que a microabrasão seguida de polimento proporcionou aumento de microdureza superficial; quando não se utilizou polimento, somente os sistemas microabrasivos com ácido clorídrico e carbeto de silício apresentaram aumento da microdureza superficial; os diferentes tempos de armazenamento em saliva artificial não resultaram em aumento da microdureza superficial; os produtos utilizados para microabrasão não proporcionaram rugosidade superficial diferentes entre si; todos os sistemas microabrasivos seguidos de polimento apresentaram maior lisura superficial quando comparados aos grupos sem polimento. Baseado nos resultados obtidos, conclui-se que a microabrasão seguida de polimento, proporcionou maior dureza e maior lisura de superfície do esmalte dental. A imersão em saliva artificial por períodos de 24 horas e 7 dias, contudo, não alterou a dureza do esmalte dental.<br>Abstract: The objectives of this study in vitro were: 1) evaluate the effect of microabrasion on microhardness and roughness of bovine enamel and the action of polishing carried out with the appropriate pastes on abrasioned enamel, 2) evaluate the effect of storage in artificial saliva, during different times of action, on the microhardness of bovine dental enamel. For this, used 144 bovine enamel blocks (6.0 mm x 6.0 mm), forming the groups: I-treatment with 37% phosphoric acid and pumice paste (n = 48), Il-treatment with Opalustre (Ultradent) (n = 48), Ill-treatment with Whiteness RM (FGM) (n = 48). Then the three groups were divided into three subgroups, according to the following treatments: a) diamond polishing paste, b) polishing with fluoride prophylactic paste and c) without polishing (control). Tests of hardness were carried out in the following set times: 1) initial (prior to the microabrasion and polishing), 2) after microabrasion with and without polishing (control), 3) after microabrasion with and without polishing and immersion in artificial saliva for 24 hours; 4) after microabrasion with and without polishing and immersion in artificial saliva for 7 days. Tests of surface roughness were performed in the following pre-set times: 1) initial (prior to the microabrasion and polishing) and final (after the completion of microabrasion with and without polishing) (control). The obtained data were analyzed by "two factors" ANOVA and Tukey test with significance of 5% for hardness and roughness. The results showed that: microabrasion followed by polishing provided an increase of superficial microhardness; without the use of polishing, only the microabrasive systems with hydrochloric acid and silicon carbide showed increased superficial microhardness; different times of storage in artificial saliva did not result in increased microhardness; the products used for microabrasion did not provide surface roughness different from each other; all microabrasive systems followed by polishing showed a higher surface smoothness compared with the groups without polishing. Based on these results, it can be inferred that microabrasion followed by polishing provided higher hardness and better surface smoothness of the dental enamel. However, the immersion in artificial saliva for 24 hours and 7 days was not able to increase the enamel hardness.<br>Doutorado<br>Dentística<br>Doutor em Clínica Odontológica
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Pettersson, Mickaela, and Elin Svensson. "Artificiell nutrition och hydrering till patienter i det terminala skedet : En litteraturstudie om sjuksköterskors medverkan i beslutsprocessen." Thesis, Högskolan i Halmstad, Akademin för hälsa och välfärd, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43423.

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Bakgrund: Beslutet om artificiell nutrition och hydrering (ANH) i det terminala skedet har länge varit ett högaktuellt ämne världen över. Sjuksköterskan är den i vårdteamet som står närmast patienten, identifierar dess behov och initierar en behandling med ANH. Därför var det av intresse att undersöka sjuksköterskans medverkan vid beslutsprocessen. Syfte: Syftet med studien var att beskriva sjuksköterskans medverkan vid bedömning av behovet av artificiell nutrition och hydrering i det terminala skedet. Metod: En allmän litteraturstudie med induktiv ansats. Elva vetenskapliga artiklar användes i resultatet. Resultat: Resultatet av litteraturstudien delades upp i tre teman: Faktorer som påverkar sjuksköterskan, Relationer som påverkar beslutet och Beslutsprocessen. Resultatet visade att de sjuksköterskor som arbetade på en vårdavdelning som hanterade ANH-beslut och de sjuksköterskor som hade lång erfarenhet medverkade i beslutsprocessen i större utsträckning. Det framkom också att relationen mellan sjuksköterskan och ansvarig läkare hade betydelse för sjuksköterskans delaktighet i beslutet. Konklusion: För att sjuksköterskan ska känna sig trygg i att medverka i beslutsprocessen krävs utbildning inom ämnet, tydliga riktlinjer och ett arbetsklimat präglat av goda relationer kollegorna emellan.<br>Introduction: The decision making process regarding artificial nutrition and hydration (ANH) at the terminal stage of life has been a highly topical subject worldwide. The nurse is the member of the team who’s closest to the patient, the one who identifies the patients’ needs and initiates the ANH treatment. Because of this, examining the nurses’ participation in the decision-making process was of interest. Aim: The aim of the study was to describe the nurses participation regarding the decision-making process surrounding ANH at the terminal stage of life. Method: A general literature review with an inductive approach. Eleven articles were used in the result. Results: The results of the study were divided into three themes. Factors influencing the nurse, Relations that influence the decision, The decision-making process. The result shows that the nurses working in wards often managing ANH treatment decisions and the nurses with more experience participated in the decision making process to a greater extent. The results also showed that the character of the relationship the nurse had with the doctor was important and made a difference regarding the nurses participation in the decision. Conclusion: In order for the nurses to feel comfortable and safe to participate in the decision making process they need education, guidelines and good relations with colleagues.
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Såma, Ali, and Gloria Mugisha. "Revisionyrkets utveckling genom implementering av digitalisering : en studie som behandlar digitaliseringens påverkan på revisionen och det nuvarande kompetenskravet." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-23461.

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Vad är revision egentligen och varför är det så viktigt? Revision handlar om att kritiskt granska, bedöma och uttala sig om ett företags redovisning och förvaltning. Revision har under många år hjälpt individer att ta beslut kring ett företag utifrån kritiskt framtagna rapporter av auktoriserade revisorer som följer god redovisningssed. Revisionen är en viktig grund för intressenter och aktieägare men också för att säkerställa att juridiska och skatterättsliga restriktioner och regler som ständigt förnyas, tillämpas. Men vad som en gång var en vanlig arbetsuppgift för en revisor är idag annorlunda, digitaliseringen implementeras bland yrket genom automatiserade arbetsuppgifter och den tidigare beskrivningen på vad en revisor utför under en vanlig arbetsdag har förändrats. Syftet med denna studie är att ge en övergripande bakgrundsbild av vad revisionsyrket har haft för arbetsuppgifter och hur dessa har utförts, fram tills att digitaliseringen implementerades bland yrket och förändrade dåvarande arbetsuppgifter. Vi vill med denna studie även undersöka hur dessa arbetsuppgifter har förändrats och vilka effekterna har varit för både yrket samt dess kompetenskrav och för själva revisionen. Under den teoretiska referensramen presenteras en bakgrundsbild av revisorsrollen och dess arbetsuppgifter samt hur utvecklingen sett ut. Vi presenterar sedan två teorier som sträcker sig från den ursprungliga revisorn till den utvecklade, digitaliserade revisorn. Sist presenteras tidigare studier som behandlat revisionyrkets utveckling genom implementering av digitaliseringen. Detta för att få en förståelse kring de effekter som digitaliseringen medfört inom yrket men även för att förstå det förändrade kompetensbehovet som kommer att påverka revisionen. Med hjälp av en kvalitativ metod besvarades syftet och den insamlade empirin presenteras under empirikapitlet för att framföra respondenternas uppfattning. Sedan kopplar uppsatsen samman teori och empiri under analyskapitlet med redogörelse för likheter och skillnader mellan den tidigare bilden av revisionsyrket och dagens digitaliserade revisor med dess nya sätt att behandla sina arbetsuppgifter. Slutsatsen av studien baserat på de åsikter våra respondenter har presenterat är att digitaliseringen har påverkat revisionyrkets arbetsuppgifter på det sätt att tidigare manuella hanteringar av underlag numera tas emot och granskas digitalt. Detta genom automatiserade affärssystem vilket både bespararar tid och hindrar oenigheter då alla underlag lagras, tack vare big data system. Men risken finns att tidigare kompetens suddas ut mot den nya, digitala kompetensen som krävs för att kunna arbeta med revision, vilket är mycket viktigt att ta hänsyn till. Förslag till vidare forskning är att fördjupa sig i detalj kring det förändrade kompetensbehovet som uppstått bland yrkets arbetsuppgifter. Det är även intressant att forska kring byråer som redan nu implementerat förändrade kompetenskrav för att sedan jämföra deras lönsamhet med byråer som inte har implementerat samma krav.<br>What is auditing intrinsically and why is it so important? Audit is about critically reviewing, assessing and commenting on a company's accounting and management. Audit has for many years helped individuals to make decisions about a company based on critically produced reports by authorized auditors who adhere to generally accepted accounting principles. The audit is an important basis for stakeholders and shareholders, but also to ensure that legal and tax law restrictions and rules that are constantly renewed are applied. But what was once a regular task for an accountant is different today, digitalization is implemented among the profession through automated tasks and the previous description of what an auditor performs during an ordinary working day has changed. The purpose of this study is to provide an overall background image of what the auditing profession has had for tasks and how these have been carried out, until the digitalisation was implemented among the profession and changed the then duties. With this study we also want to investigate how these tasks have changed and what the effects have been for both the profession and its competence requirements and for the audit itself. Under the theoretical frame of reference, a background image of the role of the auditor and its tasks and how the development has been presented is presented. We then present two theories that range from the original auditor to the developed, digitized auditor. Lastly, previous studies are presented that dealt with the development of the audit profession through the implementation of digitization. This is to gain an understanding of the effects that digitization has brought about in the profession, but also to understand the changed skills needs that will affect the audit. With the help of a qualitative method, the purpose was answered and the collected empirical data is presented under the empirical chapter to present the respondents' perception. Then the paper links theory and empirical data in the analysis chapter with an account of similarities and differences between the previous picture of the auditing profession and the current digitized auditor with its new ways of handling their tasks. The conclusion of the study based on the opinions our respondents have presented is that digitization has affected the audit profession's tasks in the way that previous manual manipulations of data are now received and reviewed digitally. This through automated business systems, which saves both time and prevents disagreements when all data is stored, thanks to big data systems. However, there is a risk that previous competencies will be erased against the new, digital competence required to be able to work with auditing, which is very important to take into account. Proposals for further research are to deepen in detail about the changed skills needs that have arisen among the profession's tasks. It is also interesting to research agencies that have already implemented changed competence requirements in order to then compare their profitability with agencies that have not implemented the same requirements. In addition to this summary, the study will be written in Swedish.
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Gustafsson, Hannes, and Fredrik Kaiser. "Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16978.

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Forslund, Lia, and Mentzer Sofia von. "Sjukvårdskris och svalt mottagande av AI, hur går det ihop? : En fallstudie i vilka faktorer som har störst påverkan på införandet av artificiell intelligens." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414559.

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Det svenska sjukvårdssystemet är konstant under hög press och situationen benämns ofta i media som en sjukvårdskris. Radiologin är en av de medicinska discipliner som drabbats av en kontinuerligt ökande arbetsbelastning och personalbrist. Detta sätter sjukvården i en situation att konstant tvingas väga effektivitet mot kvalitet. Trots höga förväntningar på att innovationer som Artificiell Intelligens (AI) ska kunna bistå behoven, används AI idag i en mycket begränsad utsträckning. Denna studie syftar till att utreda påverkande faktorer för införandet av AI inom radiologin. För att besvara arbetets forskningsfråga har HA Adoption-Decision Model, en modifierad version av det väletablerade Technology-Organization-Environment Framework (TOE), tillämpats. Ramverket innefattar tre kontexter; teknologisk, organisatorisk och extern kontext. Varje kontexts delaspekter, så kallade faktorer, följer under respektive kontext. Dessa tio faktorer utvärderades för att besvara studiens forskningsfråga om vilka faktorer som har störst påverkan på införande av AI inom radiologi. Genom att förena tidigare forskning med resultatet från sex intervjuer visade sig affärsvärde , strategisk lämplighet , ledningsstöd och reglering av datahantering ha störst påverkan. Avslutningsvis presenteras ett förslag om att introducera en elfte faktor, IT-mognad, till ramverket.
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Beji, Nadia. "Possession in the Modern Age : a Jungian analysis of possession within the Anglican faith." Thesis, Högskolan i Gävle, Avdelningen för kultur-, religions- och utbildningsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-12011.

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This essay uses interviews to gather information regarding the experience and belief which exists in regards to possession within the Anglican faith. It also uses Jungian psychology to analyse these experiences and beliefs; this is interesting because even in the modern day of science, possession continues to be a phenomenon. It still occurs closer to home than we may think; a modern western country such as England, where Anglicanism is the state religion, have special ministries assigned to deal with this in every diocese. The information was gathered through interviews and literature, to give both a qualitative and a quantitative perspective. This essay presents a possible psychological explanation for the cases of possession as experienced within the Anglican faith, which provides an alternative to the distress these individuals are experiencing rather than assuming it necessarily is of a spiritual nature. It does not, however, seek to prove or disprove the possibility of a spiritual cause behind this phenomenon.
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Books on the topic "Artificial debt"

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Siemerling, Winfried. Artificial intelligence in the humanities: A practical introduction to Déredec. Dept. of French, University of Toronto, 1989.

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Robert, Pignataro, and United States. National Aeronautics and Space Administration., eds. The spinning artificial gravity environment: A design project for the United States Naval Academy Aerospace Engineering Dept. National Aeronautics and Space Administration, 1987.

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United States. General Accounting Office., ed. Military satellite communications: Potential for greater use of commercial satellite capabilities : statement for the record of Louis J. Rodrigues, Director, Command, Control, Communications, and Intelligence Issues, National Security and International Affairs Division, before the Subcommittee on Defense, Committee on Appropriations, House of Representatives. The Office, 1992.

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United States. General Accounting Office., ed. Military satellite communications: Potential for greater use of commercial satellite capabilities : statement for the record of Louis J. Rodrigues, Director, Command, Control, Communications, and Intelligence Issues, National Security and International Affairs Division, before the Subcommittee on Defense, Committee on Appropriations, House of Representatives. The Office, 1992.

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United States. Congress. House. Committee on Government Operations. Milstar communications system: Comprehensive reevaluation needed : seventeenth report. U.S. G.P.O., 1994.

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United States. Congress. Senate. Committee on Armed Services. Subcommittee on Strategic Forces. Space acquisition policies and processes: Hearing before the Subcommittee on Strategic Forces of the Committee on Armed Services, United States Senate, One Hundred Eighth Congress, first session, November 18, 2003. U.S. G.P.O., 2004.

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Schinasi, Katherine V. Export controls: Change in licensing jurisdiction for commercial communications satellites : statement of Katherine V. Schinasi, Associate Director, Defense Acquisitions Issues, National Security and International Affairs Division, before the Committee on Commerce, Science, and Transportation, U.S. Senate. The Office, 1998.

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Schinasi, Katherine V. Export controls: Issues related to the export of communications satellites : statement for the record by Katherine V. Schinasi, Associate Director, Defense Acquisitions Issues, National Security and International Affairs Division, before the Committees on International Relations and on National Security, House of Representatives. The Office, 1998.

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Schinasi, Katherine V. Export controls: Issues related to commercial communications satellites : statement of Katherine V. Schinasi, Associate Director, Defense Acquisitions Issues, National Security and International Affairs Division, before the Select Committee on Intelligence, U.S. Senate. The Office, 1998.

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Office, General Accounting. Military satellite communications: Opportunity to save billions of dollars : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. The Office, 1993.

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Book chapters on the topic "Artificial debt"

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Skachkova, Yu A. "Issues of Interdependence of External Debt of States and Human Rights in the UN Activities." In Artificial Intelligence: Anthropogenic Nature vs. Social Origin. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39319-9_53.

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Rajendran, Savithaa, Aparna Kongot, and Kratika Varma. "Ethical AI Based Decision Making to Reduce Tax Related Debts for Governments." In Artificial Intelligence in HCI. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35891-3_28.

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Ivánek, J., P. Berka, J. Ferjenčík, and B. Stejskal. "Knowledge engineering research and training at the dept. of scientific and technical information, prague school of economics." In Artificial Intelligence in Higher Education. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52952-7_8.

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Lin, Zewei, Yanqing Shen, Sanping Zhou, Shitao Chen, and Nanning Zheng. "MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection." In Artificial Neural Networks and Machine Learning – ICANN 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44195-0_12.

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Sumathy, S. "Traffic Road Sign Detection and Recognition Approach Using OCR Based on Efficient DET and ROI Extraction." In Artificial Intelligence and Machine Learning for Business. Apple Academic Press, 2025. https://doi.org/10.1201/9781003535850-3.

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Li, Yuda. "The Investigation of DeiT model Based on PaddlePaddle Framework on CIFAR-10 Dataset Image Classification." In Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-300-9_106.

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Zittrain, Jonathan. "Intellectual Debt." In The Cambridge Handbook of Responsible Artificial Intelligence. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781009207898.014.

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Takahashi Masakazu, Azuma Hiroki, Ikeda Masanori, and Tsuda Kazuhiko. "Building Knowledge for Characterization of the Bad Debt Customers in the Mail Order Industry with Random Forest." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-105-2-867.

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This paper presents investigating the customercharacteristics from the bad debt list ofa mail order corporation. So far, suchinvestigations have not made intensively, especiallyprivate defaultrisks and conventional method for predicting such risks depend on the employee&amp;apos;s working experiences. For these reason, at first,we observedtheactual bad debt list from amail order corporationand analyzedsales data. From the results of the observation, we makeuse of the machine learningmethod to characterizethe potential bad debt customers. Intensive research hasrevealed that the characteristicsof customers, who might fall into the bad debt list, popularitems and so on. This method willmake use forthe revenue expansion;improvement of collectionof the bad debts.
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Zhang, Jean X. "CEO Tenure and Debt." In Artificial Higher Order Neural Networks for Economics and Business. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-897-0.ch015.

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This chapter proposes nonlinear models using artificial neural network models to study the relationship between chief elected official (CEO) tenure and debt. Using Higher Order Neural Network (HONN) simulator, this study analyzes debt of the municipalities as a function of population and CEO tenure, and compares the results with that from SAS. The linear models show that CEO tenure and the amount of debt vary inversely. Specifically, a longer length of CEO tenure leads to a decrease in debt, while a shorter tenure leads to an increase in debt. This chapter shows nonlinear model generated from HONN out performs linear models by 1%. The results from both models reveal that CEO tenure is negatively associated with the level of debt in local governments.
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Tong, Jinyun, Bart De Keijzer, and Carmine Ventre. "Selfishly Cancelling Debts Can Reduce Systemic Risk." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240890.

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The exposure of banks to systemic risk in financial networks usually requires large bailouts of taxpayer money with long-lasting and damaging societal consequences. We examine whether the banking network can reduce systemic risk from within by selfishly cancelling the debts of banks in distress. This operation can in principle reduce losses and prevent default cascades. We define an abstract model to simulate the ensuing strategic game on randomly generated financial networks, where each systemically important bank independently decides how likely it is to cancel some debts of insolvent banks. We compute the equilibrium of the induced empirical game with the empirical game-theoretic analysis and analyse its efficiency by measuring the price of anarchy. Our results show that selfish debt cancellation can reduce systemic risk when adopting the equilibrium strategy profile. However, our results also indicate that the efficiency of the equilibrium can be low and relatively few banks cancel debts at equilibrium, and we explain the reason for this through analysis of the banks’ incentives and game dynamics.
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Conference papers on the topic "Artificial debt"

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P, Yabez Davidraj, Elavarasan S, Vivek T, and Ramesh Munirathinam. "Investigation on the Performance of DeiT Model in Medical Image Classification." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011722.

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Zhang, Hongning, Tong Shi, Qingquan Duan, et al. "A Dent Defect Identification and Quantization Algorithm of Buried Pipeline Via the IMU Data." In 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI). IEEE, 2024. http://dx.doi.org/10.1109/icecai62591.2024.10675002.

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Kanellopoulos, Panagiotis, Maria Kyropoulou, and Hao Zhou. "Forgiving Debt in Financial Network Games." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/48.

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We consider financial networks, where nodes correspond to banks and directed labeled edges correspond to debt contracts between banks. Maximizing systemic liquidity, i.e., the total money flow, is a natural objective of any financial authority. In particular, the financial authority may offer bailout money to some bank(s) or forgive the debts of others in order to maximize liquidity, and we examine efficient ways to achieve this. We study the computational hardness of finding the optimal debt-removal and budget-constrained optimal bailout policy, respectively, and we investigate the approximation ratio provided by the greedy bailout policy compared to the optimal one. We also study financial systems from a game-theoretic standpoint. We observe that the removal of some incoming debt might be in the best interest of a bank. Assuming that a bank's well-being (i.e., utility) is aligned with the incoming payments they receive from the network, we define and analyze a game among banks who want to maximize their utility by strategically giving up some incoming payments. In addition, we extend the previous game by considering bailout payments. After formally defining the above games, we prove results about the existence and quality of pure Nash equilibria, as well as the computational complexity of finding such equilibria.
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Sklavenitis, Dionysios, and Dimitris Kalles. "Measuring Technical Debt in AI-Based Competition Platforms." In SETN 2024: 13th Hellenic Conference on Artificial Intelligence. ACM, 2024. https://doi.org/10.1145/3688671.3688783.

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Akinwande, Mayowa, Alexander Lopez, Tobi Yusuf, et al. "Data Analysis on Credit Card Debt: Rate of Consumption and Impact on Individuals and the US Economy." In 5th International Conference on Artificial Intelligence and Big Data. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140401.

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This paper provides a comprehensive examination of the evolution of credit cards in the United States, tracing their historical development, causes, consequences, and impact on both individuals and the economy. It delves into the transformation of credit cards from specialized merchant cards to ubiquitous financial tools, driven by legal changes like the Marquette decision. Credit card debt has emerged as a significant financial challenge for many Americans due to economic factors, consumerism, high healthcare costs, and financial illiteracy. The consequences of this debt on individuals are extensive, affecting their financial well-being, credit scores, savings, and even their physical and mental health. On a larger scale, credit cards stimulate consumer spending, drive e-commerce growth, and generate revenue for financial institutions, but they can also contribute to economic instability if not managed responsibly. The paper emphasizes various strategies to prevent and manage credit card debt, including financial education, budgeting, responsible credit card uses, and professional counselling. Empirical studies support the relationship between credit card debt and factors such as financial literacy and consumer behavior. Regression analysis reveals that personal consumption and GDP positively impacts credit card debt indicating that responsible management is essential. The paper offers comprehensive recommendations for addressing credit card debt challenges and maximizing the benefits of credit card usage, encompassing financial education, policy reforms, and public awareness campaigns. These recommendations aim to transform credit cards into tools that empower individuals financially and contribute to economic stability, rather than sources of financial stress.
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Xiao, Wenfeng. "Financial risks and countermeasures of debt financing." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6011074.

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Wang, Zihao, Jia Liu, Hengbin Cui, et al. "Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/639.

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With the rapid growth of internet finance and the booming of financial lending, the intelligent calling for debt collection in FinTech companies has driven increasing attention. Nowadays, the widely used intelligent calling system is based on dialogue flow, namely configuring the interaction flow with the finite-state machine. In our scenario of debt collection, the completed dialogue flow contains more than one thousand interactive paths. All the dialogue procedures are artificially specified, with extremely high maintenance costs and error-prone. To solve this problem, we propose the behavior-cloning-based collection robot framework without any dialogue flow configuration, called two-stage behavior cloning (TSBC). In the first stage, we use multi-label classification model to obtain policies that may be able to cope with the current situation according to the dialogue state; in the second stage, we score several scripts under each obtained policy to select the script with the highest score as the reply for the current state. This framework makes full use of the massive manual collection records without labeling and fully absorbs artificial wisdom and experience. We have conducted extensive experiments in both single-round and multi-round scenarios and showed the effectiveness of the proposed system. The accuracy of a single round of dialogue can be improved by 5%, and the accuracy of multiple rounds of dialogue can be increased by 3.1%.
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Lima, Helton Souza, Damires Yluska de Souza Fernandes, and Thiago José Moura. "On the evaluation of example-dependent cost-sensitive models for tax debts classification." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/eniac.2022.227607.

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Example-dependent cost-sensitive classification methods are suitable to many real-world classification problems, where the costs, due to misclassification, vary among every example of a dataset. Tax administration applications are included in this segment of problems, since they deal with different values involved in the tax payments. To help matters, this work presents an experimental evaluation which aims to verify whether cost-sensitive learning algorithms are more cost-effective on average than traditional ones. This task is accomplished in a tax administration application domain, what implies the need of a cost-matrix regarding debt values. The obtained results show that cost-sensitive methods avoid situations like erroneously granting a request with a debt involving millions of reals. Considering the savings score, the cost-sensitive classification methods achieved higher results than their traditional method versions.
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Xu, Wei-wei. "Risk conversion of debt financing in the coal company." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6011254.

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Binyuan Luo. "Corporate income tax rate, ownership and optimization of debt structure." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6010270.

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Reports on the topic "Artificial debt"

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Khalil, Samar, Yenitze Fimbres, Vishnukiran Thuraga, and Aakash Chawade. Integration av artificiell intelligens som bevakningsverktyg i akvaponiska system. Faculty of Landscape Architecture, Horticulture and Crop Production Science, Swedish University of Agricultural Sciences, 2025. https://doi.org/10.54612/a.4hae6at1tc.

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Ett akvaponiskt system är ett odlingssystem som integrerar fiskodling (Akvakultur) med växtodling (hydroponiskt system), där näringsflödet från fiskevatten används för att gödsla växterna i den hydroponiska delen (Figur 1). Systemet betraktas som resurseffektivt med en miljövänlig profil eftersom växten kan använda de återvunna näringsämnena från fiskevatten och därigenom minska övergödningseffekten. Hållbara akvaponiska system har en stor potential att möta behovet i akvakultur när det gäller intensifiering av den landbaserade vattenbruksproduktionen och öka proteinproduktionen. De har också en stor potential att försörja trädgårdsnäring med organiska gödselmedel som kan ersätta de syntetiska samt bemöta utmaningar när det gäller alternativa källor för vatten, energi och koldioxid för inomhusproduktion av livsmedel.
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Ossa, Carlos, and Carlos Willatt. Retroalimentación efectiva basada en inteligencia artificial generativa. Criterios de evaluación para la escritura de casos pedagógicos. Universidad Autónoma de Chile, 2023. http://dx.doi.org/10.32457/12728/102782023120.

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En este documento de trabajo presentamos criterios preestablecidos para la evaluación con propósito de retroalimentación descriptiva de textos de respuesta a casos pedagógicos, producidos por estudiantes de la asignatura Ética Profesional Docente de la Facultad de Educación de la Universidad Autónoma de Chile. Para ello, hemos descrito tres criterios que permiten observar la calidad de tal escritura. El primero, Silueta de respuesta a un caso, verifica la presencia de partes o secciones que debe mínimamente poseer el texto. Del mismo modo, se describe la extensión mínima y máxima requerida para este propósito. Los otros dos criterios (Calidad de la propuesta de resolución del caso y Calidad de la comunicación escrita) son descriptivos, y su calidad está ponderada en las rúbricas que se proveen más abajo. La retroalimentación entregada a los estudiantes debe considerar las descripciones provistas en las rúbricas. Algunas de ellas pueden manifestar calidad de escritura de distinto tipo, por lo que pueden poseer características de dos niveles distintos, dependiendo de las dimensiones de cada criterio. Estas rúbricas constituyen el núcleo del prompt con el que se ha alimentado al sistema piloto llamado RECAP-GPT (retroalimentación de casos pedagógicos basada en Transformador Generativo Preentrenado). Este permite entregar feedback descriptivo automatizado e individual a las respuestas de casos pedagógicos escritas por estos estudiantes durante el semestre de primavera de 2023.
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Samuelsson, Joakim. Artificiell intelligens i matematikundervisningen: En studie av utveckling av flyt på grundläggande talkombinationer. Linköping University Electroninc Press, 2023. http://dx.doi.org/10.3384/9789180750639.

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I denna studie studeras hur flyt på grundläggande talkombinationer utvecklas när elever övar upp sitt flyt med stöd av artificiell intelligens. Det finns flera skäl till att studera detta område. Dels handlar det om att artificiell intelligens börjar användas alltmer inom matematikutbildning, dels att flyt på talkombinationer är en central aspekt av aritmetiken samt att tidigare studier har visat att elever i behov av särskilt stöd i matematik har problem med flyt på grundläggande talkombinationer I denna studie prövas tre olika interventioner för att utveckla flyt på talkombinationer i årskurs 2. Resultatet visar att den grupp som utvecklar sitt flyt mest under interventionsperioden är den som övar på grundläggande talkombinationer med AI-motor. Näst bäst utvecklas gruppen som endast övat med matematiska symboler därefter de som övat med bildstöd och minst utvecklas kontrollgruppen.
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Vásquez Romero, Rodrigo Efrén, Mónica Cepeda Granados, and Nelly Carolina Ortega Flórez. Buenas Prácticas Apícolas. Corporación colombiana de investigación agropecuaria - AGROSAVIA, 2020. http://dx.doi.org/10.21930/agrosavia.plegable.2020.3.

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Las buenas prácticas son indispensables para que los productores agropecuarios puedan garantizar la calidad de sus productos, el bienestar de los animales y el bienestar propio. La selección adecuada del lugar para instalar el apiario es parte esencial de las buenas prácticas. Este debe ser un espacio que cuente con buena oferta floral, con agua limpia para las abejas y que esté retirado de fuentes de contaminación. Se recomienda proteger el apiario con un encerramiento natural o artificial para disminuir el riesgo de accidentes por picaduras y evitar que el enjambre sufra daños por vientos fuertes. Además, el lugar debe disponer de un buen acceso vehicular y estar a más de 200m de viviendas, vías públicas o establos. Es importante considerar que la fumigación con plaguicidas en predios aledaños no afecte a las abejas. En este plegable se muestran cuáles son las buenas prácticas en el proceso de producción apícola, desde la instalación del apiario hasta la cosecha.
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Torreblanca, José Ignacio, Irene Sánchez, Manuel Acevedo, Ángel Melguizo, and Víctor Muñoz. Conectando regiones, cerrando brechas, construyendo soberanía · Alianza Digital Unión Europea-América Latina y Caribe: recomendaciones de cara a la Cumbre UE-CELAC. Fundación Carolina, 2025. https://doi.org/10.33960/issn-e.1885-9119.dtfcecfr.

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El deterioro del contexto geopolítico internacional hace imperativo impulsar la relación entre la Unión Europea y América Latina y el Caribe. Además de colaborar en el sostenimiento del multilateralismo y el derecho internacional, las dos regiones tienen que profundizar sus vínculos económicos y comerciales, así como cerrar sus brechas digitales y tecnológicas. La agenda de cooperación digital presenta una oportunidad única, basada en un enfoque compartido, centrado en el ser humano, para la transformación digital y en los desafíos comunes que enfrentan ambas regiones. Consolidar y fortalecer la Alianza Digital entre la Unión Europea y América Latina y el Caribe debe ser un objetivo principal de la próxima Cumbre UECELAC de 2025. Para ello es necesario adoptar medidas en cuatro áreas clave: infraestructuras de conectividad, ciberseguridad, inteligencia artificial y tecnologías verdes.
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Yoosef-Ghodsi and Zimmerman. L51879 Effect of Y-T Ratio on Mechanical Damage Tolerance for Strain-Limit Pipeline Design. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0011057.

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This work investigates the effect of the yield-to-tensile strength ratio (Y/T) has on the mechanical damage tolerances of steel pipelines subject to high strain loading conditions. The work includes full-scale tests and the development of an analytical model for calculating longitudinal tensile strain capacity. The tests were designed to simulate the type of loading that occurs in a pipeline subjected to a �significant ground movement event, and they involved pressurized tension tests on short, full pipe sections that contained artificially-manufactured, circumferentially-oriented dent-gouge defects. A total of 26 tests were performed on pipe specimens with Y/T values ranging from 0.81 to 0/93 and Charpy toughness ranging from 64 to 115 J.
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Ulate Brenes, Eliana, Edgar Mora, Cristina Pombo, et al. La importancia de establecer un marco orientador de política pública para el uso responsable y ético de la inteligencia artificial y su aplicación en Costa Rica. Banco Interamericano de Desarrollo, 2021. http://dx.doi.org/10.18235/0003773.

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El Ministerio de Ciencia, Tecnología y Telecomunicaciones (MICITT) de Costa Rica, en colaboración con el Banco Interamericano de Desarrollo (BID), y con apoyo del Consejo Asesor de fAIr LAC Costa Rica, elaboró este documento de referencia como insumo de una hoja de ruta que permita crear un marco para el uso ético, responsable y seguro de la IA en el país. Este esfuerzo está enmarcado en la iniciativa fAIr LAC y está basado en el modelo de la quíntuple hélice de innovación del ecosistema costarricense a través de un Consejo Asesor, el cual reúne al sector privado (America Free Zone -AFZ, Intel, Microsoft), la academia (INCAE), el sector público (CCSS, MEP, MICITT, MEP, SINIRUBE y el BID), la sociedad civil (CINDE, Programa Estado de la Nación), y el ecosistema emprendedor (BID Lab e Innova 10x). Con el rápido avance de la tecnología y la ciencia, el uso de la inteligencia artificial (IA) se ha vuelto cada vez más común en la vida de las personas, generando un impacto significativo en la economía, la sociedad y el medio ambiente. En tal sentido, se requiere una respuesta rápida, asertiva e inclusiva por parte de los países en materia de políticas, estrategias, regulación y generación de capacidades. Por ello, como un paso inicial hacia un abordaje proactivo de estos desafíos, con este documento se pretende contribuir a crear las condiciones necesarias para impulsar la IA como uno de los aceleradores más importantes en la actualidad. En este documento se incorpora una guía de lo que debe entenderse como marco ético de la IA; se esboza un primer barrido no exhaustivo de las mejores prácticas internacionales a nivel global y regional; se describen algunos de los esfuerzos del país en materia de políticas nacionales y estrategias que contribuyen a definir esta hoja de ruta; y se presentan los principales esfuerzos que en materia de IA que se están llevando a cabo en Costa Rica.
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Cobreros Vicente, Lucía, Lucas Gortázar, and Juan Manuel Moreno. La subida de las notas de Selectividad: ¿Inflación o competición? Esade EcPol, 2023. http://dx.doi.org/10.56269/202300614/lcb.

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Entre 2013 y 2020 tuvo lugar una fuerte subida de las notas de admisión a la universidad en España. Con microdatos del Sistema Integrado de Información Universitaria del Ministerio de Universidades (SIIU) analizamos las causas de este incremento, diferenciando entre el aumento en las calificaciones de bachillerato, la fase general y la fase específica. Vemos que la fase específica es el componente que más explica el incremento de la nota de admisión, pero su peso varía en función del rendimiento del alunando. Además, tratamos de entender si se debe a un aumento artificial de las calificaciones o a una mayor competición del alumnado por acceder a la universidad, encontrando evidencia en ambas direcciones: el alumnado cada vez se esfuerza más, pero también parece existir un proceso inflacionario que tiene que ver con decisiones políticas ajenas a los alumnos, concretamente con la reforma de 2017 y con las medidas que se tomaron en 2020 como consecuencia de la pandemia. Con el fin de mejorar la Selectividad, plateamos cinco propuestas que consideramos que pueden fomentar la competición más justa y evitar fenómenos inflacionarios en las calificaciones.
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Grönbäck, Anna-Maria, Tobias Andersson Granberg, and Niki Matinrad. Tillämpningar av modern teknik inom räddning : möjligheter och framtida frågeställningar. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/9789180758468.

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Denna rapport ger en översikt över forskning och erfarenheter gällande räddningsinsatser där nya tekniker har använts, eller skulle kunna användas, vid såväl faktiska insatser som vid övning. Via en litteraturstudie, kompletterad med intervjuer med personer som är verksamma i projekt inom området, identifierades utmaningar och potential med modern teknik inom räddning. De olika teknologierna kategoriserades som Unmanned aerial/ground/surface vehicles (UXV), Artificiell intelligens (AI), Extended reality (XR, vilket inkluderar bland annat virtual och augmented reality), Kommunikationer, Sensorer, Robotar och Övrigt.Inom området artificiell intelligens för räddning behövs projekt som kan ta fram data av god kvalitet för att träna AI-modeller inom olika räddningstillämpningar (till exempel identifiering av skogsbrand, eller eftersök av person) i Sveriges varierande miljöer. Dessutom måste data och modeller valideras tillsammans med praktiker och förankras i räddningsverksamheten. Genom att utbilda responspersonal i principerna för maskininlärning kan användbarheten öka och risken för felaktiga resultat och tolkningar minskas.Teknikutvecklingen går fort medan relaterad metodutveckling och utvärdering ligger efter. För effektiv implementering av ny teknik är det viktigt att, tillsammans med användarna, undersöka vilka behov räddningstjänsten har och att ta fram metoder och modeller för hur nyttan med den nya tekniken ska utvärderas. Vidare måste den nya tekniken integreras med nuvarande arbetsmetoder, och modeller och metoder för effektiv gemensam resursanvändning av såväl nya som befintliga resurser måste utvecklas. Många mindre organisationer har svårt att själva driva denna typ av större utvecklingsprojekt, men skulle kunna hjälpas av administrativt stöd, till exempel från Myndigheten för samhällsskydd och beredskap (MSB).Säkra, robusta kommunikationsmöjligheter vid räddningsinsatser är ett viktigt område, och vidare forskning behövs för att möjliggöra detta med hjälp av drönare (UAS) i såväl fjällmiljö som till havs. Dessutom behövs flera projekt som kan tillhandahålla säkra lösningar för kommunikation och datasäkerhet inom räddning, och forskning kring hur relevant informationsdelning mellan olika aktörer kan möjliggöras. Användandet av UAS inom räddning börjar bli etablerat, och det finns potential i att utforska möjligheten med delat användande, till exempel hur drönare med andra tillämpningsområden (exempelvis matleveranser) skulle kunna bidra i räddningsinsatser. Många av de undersökta teknologierna kan användas kombinerat, till exempel kan en AI-modell tolka bilder som fångas av en drönare. Hur olika teknologier kan kombineras är ett område med fortsatt stor potential. Det saknas också vetenskapliga studier över potentialen av användningen av exoskelett inom räddning.
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Burstein, Jill. Duolingo English Test Responsible AI Standards. Duolingo, 2023. http://dx.doi.org/10.46999/vcae5025.

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Artificial intelligence (AI) is now instantiated in digital learning and assessment platforms. Many sectors, including tech, government, legal, and military sectors, now have used formalized principles to develop responsible AI standards. While there is a substantial literature around responsible AI more generally (e.g., Fjeld et al., 2020; Gianni et al., 2022; and, NIST, 20231 ), traditional validity frameworks (such as, Xi, 2010a; Chapelle et al., 2008; Kunnan, 2000; and, Kane, 1992) pre-date AI advances, and do not provide formal standards for the use of AI in assessment. The AERA/APA/NCME Standards (2014) pre-date modern AI advances, and include limited discussion about the use of AI and technology in educational measurement. Some research discusses AI application in terms of validity (such as Huggins-Manley et al., 2022, Williamson et al., 2012, and Xi, 2010b). In earlier work, Aiken and Epstein (2000) discuss ethical considerations for AI in education. More recently, Dignum (2021) proposed a high-level vision for responsible AI for education, and Dieterle et al (2022) and OECD (2023) discuss guidelines and issues associated with AI in testing. The Duolingo English Test (DET)’s Responsible AI Standards were informed by the ATP (2021) and ITC-ATP (2022) guidelines, which provide comprehensive and relevant guidelines about AI and technology use for assessment. New guidelines for responsible AI are continually being developed (Department for Science, Technology &amp; Innovation, 2023).
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