Academic literature on the topic 'Trustworthiness'

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Journal articles on the topic "Trustworthiness"

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Yang, Jun Feng. "Study on the Software Trustworthiness Measurement Algorithm Based on the Grey Relational Analysis." Advanced Materials Research 605-607 (December 2012): 2583–86. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2583.

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Under the premise of the software trustworthiness’s understanding is in the grey level, the Software Trustworthiness Measurement get many people’s attention. Use normal method to complete software trustworthiness measure is very hard. By deeply research on the Grey Relational Analysis (GRA) and Software Trustworthiness Measurement Indicator Systems, this paper brings up the Software Trustworthiness Measurement algorithm based on Grey Relational Analysis (GRA), and gives out instances. Experiments showed that this algorithm has theoretical and practical values.
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Jones, Karen. "Trustworthiness." Ethics 123, no. 1 (October 2012): 61–85. http://dx.doi.org/10.1086/667838.

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Elgin, Catherine Z. "Trustworthiness." Philosophical Papers 37, no. 3 (November 2008): 371–87. http://dx.doi.org/10.1080/05568640809485227.

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Cripe, Larry D. "Trustworthiness." Journal of Clinical Oncology 29, no. 25 (September 1, 2011): 3483–86. http://dx.doi.org/10.1200/jco.2011.35.9463.

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Hardin, Russell. "Trustworthiness." Ethics 107, no. 1 (October 1996): 26–42. http://dx.doi.org/10.1086/233695.

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Dunn, Craig P. "Managerial Trustworthiness." Proceedings of the International Association for Business and Society 8 (1997): 127–38. http://dx.doi.org/10.5840/iabsproc1997816.

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Siebert, Matthew Kent. "Testimonial Trustworthiness." American Catholic Philosophical Quarterly 92, no. 2 (2018): 249–76. http://dx.doi.org/10.5840/acpq2018313149.

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Believing someone is, as Elizabeth Anscombe said, “trusting him for the truth.” Recent accounts of how we trust speakers for the truth have given a central role to speaker trustworthiness but have said little about what speaker trustworthiness is. I argue that it is best to think of speaker trustworthiness as the virtue of truthfulness. I give an account of truthfulness, show how that account solves problems for other accounts of speaker trustworthiness, and then use my account to explain the epistemic benefits of trusting a truthful speaker.
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Marsden, Lindsay. "Demonstrate trustworthiness." Children and Young People Now 2019, no. 1 (January 2, 2019): 40. http://dx.doi.org/10.12968/cypn.2019.1.40.

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Fang, Yifan, Jefferson Ortega, and David Whitney. "Inferential Trustworthiness Tracking Reveals Fast Context-Based Trustworthiness Perception." Journal of Vision 24, no. 10 (September 15, 2024): 1320. http://dx.doi.org/10.1167/jov.24.10.1320.

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Zhang, Jin, Jun-fei Liu, Hai-xing Jiao, Yi Shen, and Shu-yuan Liu. "Industry Software Trustworthiness Criterion Research Based on Business Trustworthiness." Physics Procedia 24 (2012): 851–55. http://dx.doi.org/10.1016/j.phpro.2012.02.128.

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Dissertations / Theses on the topic "Trustworthiness"

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McColl, James. "Trust & trustworthiness." Theological Research Exchange Network (TREN), 1989. http://www.tren.com.

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Arockiasamy, Britto N. "Trustworthiness of Web Services." UNF Digital Commons, 2014. http://digitalcommons.unf.edu/etd/531.

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Workflow systems orchestrate various business tasks to attain an objective. Web services can be leveraged to handle individual tasks. Before anyone intends to leverage service components, it is imperative and essential to evaluate the trustworthiness of these services. Therefore, choosing a trustworthy service has become an important decision while designing a workflow system. Trustworthiness can be defined as the likelihood of a service functioning as it is intended. Selection of a service that satisfies business goals involves collecting relevant information such as security mechanisms, reliability, performance and availability. It is important to arrive at total trustworthiness, which incorporates all of the above mentioned multi-facet values relevant to a service. These values can be gathered and analyzed to derive the total trustworthiness of a service. Measuring trustworthiness of a service involves arriving at a suitable value that would help an end-user make a decision for the given business settings. The primary focus of this thesis is to gather relevant details and measure trustworthiness based on inputs provided by the user. A conceptual model was developed after extensive literature review to identify factors that influence trustworthiness of a service. A mechanism was created to gather concept values for a given service and utilize those values to calculate trustworthiness index value. A proof-of-concept prototype was also developed. The prototype is a web-based application that implements the mechanism to measure the trustworthiness of the service. The prototype was evaluated using a scenario-based analysis method to demonstrate the utility of the trustworthiness mechanism using three different scenarios. Results of the evaluation shows that trustworthiness is a multidimensional concept, the relevant conceptual values can be collected, a trustworthiness index value can be calculated based on the gathered concepts, and a trustworthiness index can be interpreted to select the most relevant service for a given requirement.
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Haines, Thomas E. "Towards trustworthiness without trusted authorities." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/112814/1/Thomas_Haines_Thesis.pdf.

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This project focuses on improving public consensus systems by reducing reliance on the powerful authorities which are prevalent in modern electronic voting schemes. We investigate how new cryptographic protocols with human involvement can remove or reduce reliance on trusted authorities. We improve the in-polling-booth electronic voting scheme "Prêt à Voter" to allow higher privacy. We propose an online voting scheme called "VOTOR" that prevents the authorities from learning or casting votes, along with other desirable properties. Finally, we design a forward-secure and unconditionally anonymous linkable ring signature, with applications to onlinevoting.
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Doan, Trung Son [Verfasser]. "On Trustworthiness Recommendation / Trung Son Doan." Hagen : FernUniversität in Hagen, 2017. http://d-nb.info/1137181621/34.

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Xu, Rubin. "Improving application trustworthiness on stock Android." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708958.

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Pattanaphanchai, Jarutas. "Trustworthiness of Web information evaluation framework." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/370596/.

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Assessing the quality of information on the Web is a challenging issue for at least two reasons. Firstly, there is little control over publishing quality. Secondly, when assessing the trustworthiness of Web pages, users tend to base their judgements upon subjective criteria such as the visual presentation of the website, rather than rigorous criteria such as the author's qualifications or the source's review process. As a result, Web users tend to make incorrect assessments of the trustworthiness of the Web information they are consuming. Also, they are uncertain of their ability to make a decision whether to trust information they are not familiar with. This research addresses this problem by collecting and presenting metadata based on useful practice trustworthiness criteria, in order to support the users' evaluation process for assessing the trustworthiness of Web information during their information seeking processes. In this thesis, we propose the Trustworthiness of Web Information Evaluation (TWINE) application framework, and present a prototype tool that employs this framework for a case study of academic publications. The framework gathers and provides useful information that can support users' judgments of the trustworthiness of Web information. The framework consists of two layers: the presentation layer and the logic layer. The presentation layer is composed of input and output modules, which are the modules that interface with the users. The logic layer consists of the trustworthiness criteria and metadata creation modules. The trustworthiness criteria module is composed of four basic criteria, namely: authority, accuracy, recency and relevance. Each criterion consists of the items, called indicators, in order to indicate the trustworthiness of Web information based on their criteria. The metadata creation module gathers and integrates metadata based on the proposed criteria that will then be used in the output module in order to generate the supportive information for users. The framework was evaluated based on the tool, using an empirical study. The study set a scenario that new postgraduate students search for publications to use in their report using the developed tool. The students were then asked to complete a questionnaire, which was then analysed using quantitative and qualitative methods. The results from the questionnaire show that the confidence level of users when evaluating the trustworthiness of Web information does increase if they obtain useful supportive information about that Web information. The mean of the confidence level of their judgments increases by 12.51 percentage points. Additionally, the number of selected ssessing the quality of information on the Web is a challenging issue for at least two reasons. Firstly, there is little control over publishing quality. Secondly, when assessing the trustworthiness of Web pages, users tend to base their judgements upon subjective criteria such as the visual presentation of the website, rather than rigorous criteria such as the author's qualifications or the source's review process. As a result, Web users tend to make incorrect assessments of the trustworthiness of the Web information they are consuming. Also, they are uncertain of their ability to make a decision whether to trust information they are not familiar with. This research addresses this problem by collecting and presenting metadata based on useful practice trustworthiness criteria, in order to support the users' evaluation process for assessing the trustworthiness of Web information during their information seeking processes. In this thesis, we propose the Trustworthiness of Web Information Evaluation (TWINE) application framework, and present a prototype tool that employs this framework for a case study of academic publications. The framework gathers and provides useful information that can support users' judgments of the trustworthiness of Web information. The framework consists of two layers: the presentation layer and the logic layer. The presentation layer is composed of input and output modules, which are the modules that interface with the users. The logic layer consists of the trustworthiness criteria and metadata creation modules. The trustworthiness criteria module is composed of four basic criteria, namely: authority, accuracy, recency and relevance. Each criterion consists of the items, called indicators, in order to indicate the trustworthiness of Web information based on their criteria. The metadata creation module gathers and integrates metadata based on the proposed criteria that will then be used in the output module in order to generate the supportive information for users. The framework was evaluated based on the tool, using an empirical study. The study set a scenario that new postgraduate students search for publications to use in their report using the developed tool. The students were then asked to complete a questionnaire, which was then analysed using quantitative and qualitative methods. The results from the questionnaire show that the confidence level of users when evaluating the trustworthiness of Web information does increase if they obtain useful supportive information about that Web information. The mean of the confidence level of their judgments increases by 12.51 percentage points. Additionally, the number of selected pieces of Web information used in their work does increase when supportive information is provided. The number of pieces of Web information selected by the users increases on average less than one percentage points. Participating users were satisfied with the supportive information, insofar as it helps them to evaluate the trustworthiness of Web information, with the mean satisfaction level of 3.69 of 5 points. Overall the supportive information provided, based on and provided by the framework, can help users to adequately evaluate the trustworthiness of Web information.
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Antonellini, Giorgia. "Trustworthiness dei dati nei sistemi di crowdsourcing." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8279/.

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Questa tesi affronta la tematica della trustworthiness dal punto di vista dell’utente, a partire dalla sua identità virtuale fino a considerare l’analisi dei parametri che un sito Web dovrebbe adottare perchè sia ritenuto affidabile dagli utilizzatori. Si individueranno quindi le criticità che rendono ancora la trustworthiness una variabile poco considerata nella progettazione di siti Web e gli eventuali accorgimenti e punti di forza che caratterizzano un ambiente di lavoro. La tesi presenta diversi casi esemplificativi di utilizzo, ovvero gli ambienti di commercio elettronico, gli ambienti che condizionano l’acquisto di un utente e i sistemi di knowledge sharing; tutte le analisi di affidabilità sono applicate a siti web che adottano modelli di approvvigionamento dati da parte degli utenti stessi, votazioni e giudizi, recensioni su prodotti e servizi, crowdsourcing di informazioni e di esperienze personali e collettive, basate su progetti di indagine commerciale, analisi e opinione di prodotti o servizi o informazioni condivise per lo sviluppo sociale. La tematica viene analizzata da questi tre punti di vista, ciascuno sotto l’ottica identitaria, di reputazione e di affidabilità. La letteratura, come esaminato in questa tesi, propone alcuni modelli che individuano criteri di valutazione dell’affidabilità dei siti web, su algoritmi già esistenti quindi su siti Web che possiedono sistemi di filtraggio del contenuto o sistemi di valutazione della reputazione o meccanismi di raccomandazione per individuare le intenzioni dell’utente; in altri casi vengono implementati modelli sperimentali e teorie basate su dataset esistenti, per ricercare soluzioni tangibili all’autenticazione di affidabilità di un sistema, compensando la carenza di sistemi di giudizio di trustworthiness su siti Web reali. Vengono proposti alcuni casi d’uso, appartenenti alle categorie prese in oggetto, per esaminare nel dettaglio, le caratteristiche di trustworthiness fornite da ognuno di essi, nel loro campo di applicazione. L’obiettivo è tracciare una mappatura dei principali criteri con cui viene valutata trustworthiness dei dati in qualsiasi ambito d’applicazione della rete, ponendo alcuni criteri fondamentali ed avere così una visione approfondita della problematica.
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Lanford, Patricia. "A model for building trustworthiness in online stores." Auburn, Ala., 2007. http://repo.lib.auburn.edu/07M%20Dissertations/LANFORD_PATRICIA_43.pdf.

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Fourie, R., and D. Lubbe. "Trustworthiness of South African sustainability reports : an overview." Journal for New Generation Sciences, Vol 10, Issue 3: Central University of Technology, Free State, Bloemfontein, 2012. http://hdl.handle.net/11462/616.

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Published Article
It is widely assumed that sustainability reporting is a mechanism that companies can use to demonstrate their trustworthiness with regard to development in a sustainable manner. This article uses the Mayer, Davis and Schoorman trust model as basis to discuss how sustainability reporting can enhance trustworthiness in a sustainable development context. The study also uses a survey-questionnaire, sent to South African sustainability reporters, to explore whether they are finding sustainability reporting useful for enhancing companies' trustworthiness among stakeholders in a sustainable development context. Respondents indicate, amongst other things, that sustainability reporting in South Africa has a role to play in enhancing trustworthiness, more so among contractual stakeholders than among community stakeholders. To entrench trust benefits in the long term will however require long term strategies. Such strategies should focus on increasing the engagement of community stakeholders, authentic use of the GRI and implementing effective control systems that prevent the misuse of sustainability reports, while not preventing the formation of real trust.
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Yao, Jinhui. "Strong accountability for trustworthiness in service oriented systems." Thesis, The University of Sydney, 2012. https://hdl.handle.net/2123/29154.

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Service Oriented Architecture (SOA) enables system designers to combine individual services to form new service network. Along with the wide rage of innovations in the service related technologies (e.g. IaaS, PaaS, SaaS), applications, platforms, infrastructures, provided by different vendors can now be conveniently composed to form unified systems for specific tasks. Whilst such paradigm provides many benefits, it inevitably introduces trust issues. The participants in the system may cross multiple domains with different interests and priorities, they naturally do not trust each other to comply with the SLA and admit their violations. This lack of trustworthiness prevents the paradigm from prospering. In this thesis a compliance monitoring model that enforces strong accountability is designed to enhance the trustworthiness in the service oriented systems. Account— ability refers to the ability of the system to be trustworthy, in another words, strong accountability implies that the system can show its compliance unambiguously and convincingly. It provides means to verify compliance according to evidence in a provable and undeniable way. Several protocols and reasoning algorithms, including trusted evidence logging, probing and voting and compliance interval evaluation are designed to facilitate the notions of strong accountability. Services involved in the collaboration will submit undeniable evidence to multiple dedicated accountability services, which will evaluate their degree of compliance through provable reasoning processes. This thesis also presents the architecture design and implementation of TrustCol— lab — a framework to facilitate trustworthy service oriented collaboration. It allows collaborating services to register and submit information relevant to their business processes during the operation for monitoring. The monitoring task is assigned to multiple monitoring agents — accountability services — which will analyse the received evidence and vote to conclude the compliance of the underlying services.
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Books on the topic "Trustworthiness"

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de, Bezenac Agnes, Bezenac Agnes de, Bezenac, Salem de, author, ill, and Luo Ying translator, eds. Xin ren: Trustworthiness. Shanghai Shi: Hua dong shi fan da xue chu ban she, 2015.

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Nünning, Vera, ed. Unreliable Narration and Trustworthiness. Berlin, München, Boston: DE GRUYTER, 2015. http://dx.doi.org/10.1515/9783110408263.

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Kwantes, Catherine T., and Ben C. H. Kuo, eds. Trust and Trustworthiness across Cultures. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56718-7.

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Slemrod, Joel. Do trust and trustworthiness pay off? Cambridge, MA: National Bureau of Economic Research, 2002.

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Studios, Rising Star, ed. Sticking to it: A lesson in trustworthiness. Minneapolis, MN: Rising Star Studios, LLC, 2009.

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1971-, Hamill Heather, ed. Streetwise: How taxi drivers establish their customers' trustworthiness. New York: Russell Sage, 2005.

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Scheman, Naomi. Shifting ground: Knowledge and reality, transgression and trustworthiness. New York: Oxford University Press, 2011.

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Burch, Regina G. Telling the truth: Learning about honesty, integrity, and trustworthiness. Huntington Beach, Calif: Creative Teaching Press, 2002.

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Paul, Helm, and Trueman Carl R, eds. The trustworthiness of God: Perspectives on the nature of scripture. Grand Rapids, MI: Eerdmans Pub., 2002.

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Presbyterian Church in America. General Assembly. Did God really say?: Affirming the truthfulness and trustworthiness of Scripture. Edited by Garner David B. 1965-. Phillipsburg, N.J: P&R Pub., 2012.

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Book chapters on the topic "Trustworthiness"

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Banks, Sarah, and Ann Gallagher. "Trustworthiness." In Ethics in professional life, 134–54. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-07769-1_8.

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Monty, David A. "Building Trustworthiness." In Trust-Based Selling, 69–82. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0874-8_8.

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Wang, Chen. "Trustworthiness Evaluation." In Encyclopedia of Wireless Networks, 1415–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_318.

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Kassab, Lora L., and Jeffrey Voas. "Agent Trustworthiness." In Object-Oriented Technology: ECOOP’98 Workshop Reader, 300. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49255-0_78.

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Wang, Chen. "Trustworthiness Evaluation." In Encyclopedia of Wireless Networks, 1–2. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_318-1.

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Klüwer, Johan W., and Arild Waaler. "Relative Trustworthiness." In Formal Aspects in Security and Trust, 158–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679219_12.

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Barzilai, Sarit, and Michael Weinstock. "Beyond Trustworthiness." In Handbook of Learning from Multiple Representations and Perspectives, 123–40. New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429443961-11.

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Gol Mohammadi, Nazila, Nelufar Ulfat-Bunyadi, and Maritta Heisel. "Trustworthiness Cases – Toward Preparation for the Trustworthiness Certification." In Trust, Privacy and Security in Digital Business, 244–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98385-1_17.

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Bernstein, Lawrence, and C. M. Yuhas. "Design for Trustworthiness." In Design for Reliability, 193–212. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118310052.ch13.

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Sheard, Michael. "Truth and Trustworthiness." In Unifying the Philosophy of Truth, 107–15. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9673-6_4.

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Conference papers on the topic "Trustworthiness"

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Janev, Valentina, Miloš Nenadović, Dejan Paunović, Sahar Vahdati, Jason Li, Muhammad Hamza Yousuf, Jaume Montanya, et al. "IntelliLung AI-DSS Trustworthiness Evaluation Framework." In 2024 32nd Telecommunications Forum (TELFOR), 1–4. IEEE, 2024. https://doi.org/10.1109/telfor63250.2024.10819068.

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Donner, Catherine, Gopichandh Danala, Wolfgang Jentner, and David Ebert. "TRUExT: Trustworthiness Regressor Unified Explainable Tool." In 2024 IEEE International Conference on Big Data (BigData), 5325–34. IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825100.

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Atkinson, David J. "Robot Trustworthiness." In HRI '15: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2701973.2701976.

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Zhang, Yi, Zachary Ives, and Dan Roth. "Evidence-based Trustworthiness." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/p19-1040.

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Fengying, Wang, Li Caihong, and Zhao Lei. "Path Trustworthiness Range." In 2009 International Conference on Web Information Systems and Mining (WISM). IEEE, 2009. http://dx.doi.org/10.1109/wism.2009.113.

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Rahman, Fatin Hamadah, Thien Wan Au, S. H. Shah Newaz, and Wida Susanty Suhaili. "Trustworthiness in Fog." In the 2017 VI International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3171592.3171606.

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Artych, Rafał, Krzysztof Bocianiak, and Tomasz Ośko. "Trustworthiness 5G Enabler." In 2017 Federated Conference on Computer Science and Information Systems. IEEE, 2017. http://dx.doi.org/10.15439/2017f235.

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Deng, Yuxin, Zezhong Chen, Wenjie Du, Bifei Mao, Zhizhang Liang, Qiushi Lin, and Jinghui Li. "Trustworthiness Derivation Tree: A Model of Evidence-Based Software Trustworthiness." In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2021. http://dx.doi.org/10.1109/qrs-c55045.2021.00077.

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Jian Yang. "A classification evaluation model for software trustworthiness based on trustworthiness evolution." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5916913.

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Soeder, Brian, and K. Suzanne Barber. "Trustworthiness of Identity Attributes." In the 7th International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2659651.2659708.

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Reports on the topic "Trustworthiness"

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Kassab, Lora L., and Jeffrey Voas. Agent Trustworthiness. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada465142.

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Atencio, Julian James. The Concept of Reliability and Trustworthiness. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1329815.

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Slemrod, Joel, and Peter Katuscak. Do Trust and Trustworthiness Pay Off? Cambridge, MA: National Bureau of Economic Research, September 2002. http://dx.doi.org/10.3386/w9200.

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Ruusalepp, Raivo. D4.3 Report on Trustworthiness and Quality. Collaboration to Clarify the Costs of Curation, March 2014. http://dx.doi.org/10.7207/4c-4.3.

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Himmelsbach, Elea, Fionntán O\'Donnell, Dr Jared Robert Keller, Olivier Thereaux, Renate Samson, and Sonia Duarte. Demonstrating and assessing trustworthiness when sharing data. Open Data Institute, September 2020. http://dx.doi.org/10.61557/vxzr1830.

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Karhoff, Herman L. Quality Assessment of Trustworthiness of AFMC Acquisition Data. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada476367.

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Prowell, Stacy, Ryan Shivers, Raymond Borges Hink, and Bryan Lyles. Final Report: Energy Delivery Systems with Verifiable Trustworthiness. Office of Scientific and Technical Information (OSTI), February 2024. http://dx.doi.org/10.2172/2305802.

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Smith, Michael, Esha Datta, Richard Field, Joey Ingram, Eva Domschot, Ellery Wuest, and Veronika Strnadova-Neeley. Geometric Measures of Trustworthiness for Machine Learning Predictions. Office of Scientific and Technical Information (OSTI), September 2024. https://doi.org/10.2172/2480174.

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Liu, Huan. Assessing Trustworthiness in Social Media: A Social Computing Approach. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ad1007384.

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Boland, Tim, Charline Cleraux, and Elizabeth Fong. Toward a preliminary framework for assessing the trustworthiness of software. Gaithersburg, MD: National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7755.

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