Готові списки джерел за темами / Ethical compliance Data privacy

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Добірка наукової літератури з теми "Ethical compliance Data privacy"

Автор: Grafiati
Опубліковано: 7 червня 2025
Оновлено: 2 серпня 2025

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Статті в журналах з теми "Ethical compliance Data privacy"

1

Smith, J. H., and JS Horne. "Data privacy and DNA data." IASSIST Quarterly 47, no. 3-4 (2023): 1–3. http://dx.doi.org/10.29173/iq1094.

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Анотація:
The letter to the Editor is in response to the manuscript by Hertzog et al. (2023) titled "Data management instruments to Protect the personal information of Children and Adolescents in sub-Saharan Africa." The letter elaborates on personal data protection, particularly the POPI Act's data management requirements; the DNA Act mandates specific measures to ensure the data integrity and security of the NFDD's information. In addition, it criminalises the misuse or compromise of the data's integrity within the NFDD. In addition, the DNA Act established the National Forensic Oversight and Ethical
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2

Pereira, Letícia de Mello, Maurício Alfredo Gewehr, and Marcia Fernanda Alves. "Enhancing Organizational Compliance Programs: The Impact of Data Protection Implementation under the Personal Data Protection Law." ESG Law Review 3, ssue (2020): e01612. http://dx.doi.org/10.37497/esg.v3issue.1612.

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Анотація:
This research aims to address the following question: Is there an intersection between compliance programs and the privacy requirements outlined in the General Data Protection Law (LGPD)? To achieve this objective, the study examines the key legal aspects that directly relate to compliance programs and need to be considered for effective implementation of data protection within a corporate organization, in accordance with Brazilian legislation. The research adopts a deductive method and relies on a thorough analysis of relevant literature.
 The findings of this study demonstrate that comp
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Chauhan, Pavitra, Lars Ailo Bongo, and Edvard Pedersen. "Ethical Challenges of Using Synthetic Data." Proceedings of the AAAI Symposium Series 1, no. 1 (2023): 133–34. http://dx.doi.org/10.1609/aaaiss.v1i1.27490.

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Анотація:
There is an outburst of digitized medical data with the growing adoption of Electronic Health Record (EHR) systems but have restricted access due to legal compliances. This lack of data accessibility has piqued the interest in generating and using synthetic data. Synthetic data is programmatically generated using the statistical properties of the real dataset. Although synthetic data tackles the issue of legal compliance, there are some ethical concerns associated with it. In this paper, we discuss three ethical concerns of synthetic medical data such as fairness, privacy and unwarranted use.
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Myeka, Pranith Kumar Reddy. "Data Governance and Privacy in Modern Database Architecture: A Comprehensive Analysis." European Journal of Computer Science and Information Technology 13, no. 20 (2025): 79–90. https://doi.org/10.37745/ejcsit.2013/vol13n207990.

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Анотація:
The rapid digital transformation has positioned data governance and privacy as critical priorities in modern database architecture. This article addresses the complex interplay between regulatory compliance, technical implementation, and ethical considerations in data management. Through comprehensive assessment of global privacy regulations like GDPR and CCPA, it demonstrates how organizations are adapting database architectures to meet evolving compliance requirements. The article evaluates the implementation of Role-Based Access Control (RBAC) systems, highlighting their effectiveness in ma
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5

Adedoyin Tolulope Oyewole, Bisola Beatrice Oguejiofor, Nkechi Emmanuella Eneh, Chidiogo Uzoamaka Akpuokwe, and Seun Solomon Bakare. "DATA PRIVACY LAWS AND THEIR IMPACT ON FINANCIAL TECHNOLOGY COMPANIES: A REVIEW." Computer Science & IT Research Journal 5, no. 3 (2024): 628–50. http://dx.doi.org/10.51594/csitrj.v5i3.911.

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Анотація:
In an era where the digital transformation of financial services is both a boon and a battleground, this paper meticulously navigates the intricate relationship between Financial Technology (FinTech) and the evolving landscape of data privacy laws. With the digital economy's expansion, FinTech companies stand at the forefront of innovation, offering unprecedented financial inclusion and efficiency opportunities. However, this rapid advancement also raises significant concerns regarding data privacy and consumer protection, necessitating a delicate balance between innovation and compliance. Thi
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6

Raj, Diana Judith Irudaya, Vijay Sai Radhakrishnan, Manyam Rajasekhar Reddy, Natarajan Senthil Selvan, Balasubramanian Elangovan, and Manikandan Ganesan. "The Projection-Based Data Transformation Approach for Privacy Preservation in Data Mining." Engineering, Technology & Applied Science Research 14, no. 4 (2024): 15969–74. http://dx.doi.org/10.48084/etasr.7969.

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Анотація:
Data mining is vital in analyzing large volumes of data to extract functional patterns and knowledge hidden within the data. Data mining has practical applications in various scientific areas, such as social networks, healthcare, and finance. It is important to note that data mining also raises ethical concerns and privacy considerations. Organizations must handle data responsibly, ensuring compliance with legal and ethical guidelines. Privacy-Preserving Data Mining (PPDM) refers to conducting data mining tasks while protecting the privacy of sensitive data. PPDM techniques aim to strike a bal
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Grace Annie Chintoh, Osinachi Deborah Segun-Falade, Chinekwu Somtochukwu Odionu, and Amazing Hope Ekeh. "Cross-Jurisdictional data privacy compliance in the U.S.: developing a new model for managing AI data across state and federal laws." Gulf Journal of Advance Business Research 3, no. 2 (2025): 537–48. https://doi.org/10.51594/gjabr.v3i2.96.

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Анотація:
The fragmented landscape of data privacy laws in the United States poses significant challenges for organizations utilizing artificial intelligence (AI) systems that process sensitive and large-scale data. Variations in state laws and the absence of a comprehensive federal framework exacerbate compliance complexities, limiting AI innovation and creating legal uncertainties. This paper proposes a conceptual model to harmonize privacy compliance across U.S. jurisdictions, integrating key interoperability principles, consistency, transparency, and scalability. The framework emphasizes standardize
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Researcher. "PRIVACY-CENTRIC DATA WAREHOUSING IN MARKETING: NAVIGATING THE INTERSECTION OF ANALYTICS AND REGULATORY COMPLIANCE." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 982–99. https://doi.org/10.5281/zenodo.14055386.

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Анотація:
In the era of data-driven marketing, organizations face the dual challenge of leveraging vast amounts of consumer data for analytics while adhering to increasingly stringent privacy regulations. This article examines the concept of privacy-first data warehouses as a solution to balance marketing effectiveness with regulatory compliance. We explore the evolution of data warehouses in marketing, analyze the impact of regulations such as GDPR and CCPA, and propose a framework for implementing privacy-centric data infrastructures. Through a combination of technical strategies, including data minim
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Olagunju, Funminiyi. "Federated Learning in the Era of Data Privacy: An Exhaustive Survey of Privacy Preserving Techniques, Legal Frameworks, and Ethical Considerations." International Journal of Future Engineering Innovations 2, no. 3 (2025): 153–60. https://doi.org/10.54660/ijfei.2025.2.3.153-160.

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Анотація:
Federated Learning (FL) has emerged as a transformative approach to decentralized machine learning, enabling model training across multiple devices without centralizing sensitive data. While FL inherently supports privacy, growing concerns around data security, regulatory compliance, and ethical accountability have led to the development of advanced privacy preserving mechanisms. This systematic review, conducted in adherence with PRISMA guidelines, explores the landscape of privacy enhancing techniques, legal regulations, and ethical implications associated with Federated Learning. We sourced
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Grace Annie Chintoh, Osinachi Deborah Segun-Falade, Chinekwu Somtochukwu Odionu, and Amazing Hope Ekeh. "Developing a conceptual framework for U.S. data privacy compliance in AI systems: Integrating CCPA and HIPAA Regulations." International Journal of Frontline Research and Reviews 4, no. 1 (2025): 011–19. https://doi.org/10.56355/ijfrr.2025.4.1.0034.

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Анотація:
The rapid adoption of artificial intelligence (AI) across industries has heightened the importance of robust data privacy compliance, particularly in the U.S., where complex regulatory frameworks such as the California Consumer Privacy Act (CCPA) and the Health Insurance Portability and Accountability Act (HIPAA) govern data usage. This paper proposes a conceptual framework to harmonize these regulations within AI system design, emphasizing transparency, accountability, and ethical governance principles. The framework addresses key challenges, including regulatory gaps, legal risks, and ethica
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Дисертації з теми "Ethical compliance Data privacy"

1

Fernandez, Garcia Javier D., Fajar J. Ekaputra, Peb Ruswono Aryan, Amr Azzam, and Elmar Kiesling. "Privacy-aware Linked Widgets." ACM Press, 2019. http://epub.wu.ac.at/6859/1/Privacy_aware_Linked_Data_Widgets___WWW_19__Camera_Ready.pdf.

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Анотація:
The European General Data Protection Regulation (GDPR) brings new challenges for companies, who must demonstrate that their systems and business processes comply with usage constraints specified by data subjects. However, due to the lack of standards, tools, and best practices, many organizations struggle to adapt their infrastructure and processes to ensure and demonstrate that all data processing is in compliance with users' given consent. The SPECIAL EU H2020 project has developed vocabularies that can formally describe data subjects' given consent as well as methods that use this
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2

Sallaku, Redlon <1994&gt. "Privacy and Protecting Privacy: Using Static Analysis for legal compliance. General Data Protection Regulation." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/14682.

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Анотація:
The main purpose of the thesis is to study Privacy and how protecting Privacy, including the new regulation framework proposed by EU the GDPR, investigating how static analysis could help GDPR enforcement, and develop a new static analysis prototype to fulfill this task in practice. GDPR (General Data Protection Regulation) is a recent European regulation to harmonize and enforce data privacy laws across Europe, to protect and empower all EU citizens data privacy, and to reshape the way organizations deal with sensitive data. This regulation has been enforced starting from May 2018. While it i
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3

Rahmouni, Hanene Boussi. "Ontology based privacy compliance for health data disclosure in Europe." Thesis, University of the West of England, Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573504.

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Анотація:
The harmonization of data protection law in Europe has been theoretically achieved by means of the EU directive on data protection. In practice, the harmonization is not absolute and conflicts continue to exist in the ways Member States are implementing the directive. The integration of different European medical systems will continue to be challenging if technology does not intervene to enhance interoperability between national regulatory frameworks on data protection. In fact, the gap between high level regulations and organisational processes of privacy management in both intellectual and o
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4

Chetty, Nirvashnee. "Privacy preserving data anonymisation: an experimental examination of customer data for POPI compliance in South Africa." Master's thesis, University of Cape Town, 2020. http://hdl.handle.net/11427/32448.

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Анотація:
Data has become an essential commodity in this day and age. Organisations want to share the massive amounts of data that they collect as a way to leverage and grow their businesses. On the other hand, the need to maintain privacy is critical in order to avoid the release of sensitive information. This has been shown to be a constant challenge, namely the trade-off between preserving privacy and data utility [1]. This study performs an evaluation of privacy models together with their relevant tools and techniques to ascertain whether data can be anonymised in such a way that it can be in compli
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5

Mehta, Aastha [Verfasser]. "Ensuring compliance with data privacy and usage policies in online services / Aastha Mehta." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2020. http://d-nb.info/1222513412/34.

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6

Stauber, Sebastian. "Compliance issues within Europe's General Data Protection Regulation in the context of information security and privacy governance in Swedish corporations : A mixed methods study of compliance practices towards GDPR readiness." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39809.

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Анотація:
The European Union has introduced a new General Data Protection Regulation that regulates all aspects of privacy and data protection for the data of European citizens. To transition to the new rules, companies and public institutions were given two years to adapt their systems and controls. Due to the large area of changes the GDPR requires, many companies are facing severe problems to adapt the rules to be ready for enforcement. This marks the purpose of this study which is to look into compliance practices in the implementation of GDPR requirements. This includes a prospect of compliance mec
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7

Robol, Marco. "Consent modeling and verification: privacy regulations compliance from business goals to business processes." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/277802.

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Анотація:
Privacy regulations impose on companies limitations about the collection, use, and disclosure of user data. One of the actions most companies undertake for this, consists in modifying their systems with processes for consent acquisition and management. Unfortunately, where systems are large and with many dependencies, they often also have little documentation, and knowledge on the system is distributed among different domain experts. These circumstances make the re-engineering of systems a tedious and complex, if not impossible, activity. This PhD Thesis proposes a model-based method with a to
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Robol, Marco. "Consent modeling and verification: privacy regulations compliance from business goals to business processes." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/277802.

Повний текст джерела
Анотація:
Privacy regulations impose on companies limitations about the collection, use, and disclosure of user data. One of the actions most companies undertake for this, consists in modifying their systems with processes for consent acquisition and management. Unfortunately, where systems are large and with many dependencies, they often also have little documentation, and knowledge on the system is distributed among different domain experts. These circumstances make the re-engineering of systems a tedious and complex, if not impossible, activity. This PhD Thesis proposes a model-based method with a to
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9

Knutsson, Mikael. "Compliance with the General Data Protection Regulation: an exploratory case study on business systems’ adaptation." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209772.

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Анотація:
Current moves into a heavily digitalized era has led to a phase where our privacy is being eroded as we hand over our personal data to organizations and their systems. At the same time, the applicable laws to give security to the individuals have failed to incorporate these legal developments. However, in April 2016 the European Union proposed a change to a new regulation called the General Data Protection Regulation (GDPR). The GDPR will be implemented and start to apply in May 2018, thus the main purpose of this study was to investigate how organizations can adapt to changing regulations on
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10

Therése, Nielsen Johannes Wind. "GDPR - Are We Ready? A Comparative and Explorative Study of the Changes in Personal Data Privacy and Its Impact on ICT Companies." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20394.

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Анотація:
Personlig data genomsyrar hela vårt samhälle och hanteras digitalt via informationsteknologi. Detta försvårar för individer att ha kontroll över den personliga data som hanteras av företag. Den 25 maj 2018 ersätts den svenska Personuppgiftslagen (PuL) med den nya Dataskyddsförordningen GDPR. Förordningen är utformad för att sätta en enhetlig standard gällande hur vi samlar in, hanterar och delar europeiska medborgares personliga data. Den här forskningen är uppdelad i två steg. I det första steget genomförs en komparativ undersökning av de två lagtexterna för att identifiera de nya lagkraven s
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Книги з теми "Ethical compliance Data privacy"

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Room, Stewart. Data protection and compliance in context. British Computer Society (BCS), 2007.

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Room, Stewart. Data Protection and Compliance in Context. British Informatics Society, 2007.

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3

Determann, Lothar. Determann's field guide to data privacy law: International corporate compliance. Edward Elgar Publishing, 2015.

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4

Serwin, Andrew. Information security and privacy: A guide to international law and compliance. 2nd ed. Thomson/West, 2009.

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5

Korff, Douwe. Existing case-law on compliance with data protection laws and principles in the member states of the European Union. Office for Official Publications of the European Communities, 1998.

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6

Institute of Medicine (U.S.). Committee on the Role of Institutional Review Boards in Health Services Research Data Privacy Protection. Protecting data privacy in health services research. National Academy Press, 2000.

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Inagaki, Ryūichi. Kojin jōhō hogohō to kigyō taiō: Personal information protection act and compliance management. Seibunsha, 2003.

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8

Reissner, Howard. Understanding new data protection regulations: An immediate look at changing privacy requirements and increased compliance measures. Aspatore Books, 2010.

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9

Reissner, Howard. Understanding new data protection regulations: An immediate look at changing privacy requirements and increased compliance measures. Aspatore Books, 2010.

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10

Ballon, Ian C. The complete state security breach notification compliance handbook. West, 2009.

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Частини книг з теми "Ethical compliance Data privacy"

1

Beulen, Erik, and Marla A. Dans. "Data compliance, privacy, and ethics1." In Data Analytics and Digital Transformation. Routledge, 2023. http://dx.doi.org/10.4324/9781003246770-9.

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Beulen, Erik, and Marla A. Dans. "Data sharing – Competitive and sustainability, compliance, privacy, and ethical implications." In Data Analytics and Digital Transformation. Routledge, 2023. http://dx.doi.org/10.4324/9781003246770-16.

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Rossi, Arianna, Archana Kumari, and Gabriele Lenzini. "Unwinding a Legal and Ethical Ariadne’s Thread Out of the Twitter Scraping Maze." In Privacy Symposium 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09901-4_10.

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AbstractSocial media data is a gold mine for research scientists, but such type of data carries unique legal and ethical implications while there is no checklist that can be followed to effortlessly comply with all the applicable rules and principles. On the contrary, academic researchers need to find their way in a maze of regulations, sectoral and institutional codes of conduct, interpretations and techniques of compliance. Taking an autoethnographic approach combined with desk research, we describe the path we have paved to find the answers to questions such as: what counts as personal data
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Hommerson, Susan, Chiara Gallese, Fanny Garel, Angela Aleksovska, and Harry Bikas. "Ethics, Data and Privacy Management for AI Solutions in Manufacturing at SMEs (AIRISE)." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86489-6_29.

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Abstract Ethics has become an increasingly important topic within the development of Artificial Intelligence systems. The anticipated European AI act has a strong foundation in 7 ethical values of the Assessment List for Trustworthy Artificial Intelligence (ALTAI): human agency and oversight, technical robustness and safety, privacy and data governance, transparency, diversity, non-discrimination and fairness, environmental and societal wellbeing, and accountability. In addition, data management and privacy are other important aspects of responsible AI: from development towards implementation.
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Hirsch, Dennis, Timothy Bartley, Aravind Chandrasekaran, Davon Norris, Srinivasan Parthasarathy, and Piers Norris Turner. "What is Business Data Ethics Management?" In SpringerBriefs in Law. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21491-2_4.

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Анотація:
AbstractThe law, including privacy law, lags the rapid development of advanced analytics and AI. As a result, compliance with the law is not sufficient to protect individuals or society from the threats that corporate use of these technologies can create. To protect people against these risks, and so to safeguard their own reputations and live by their values, companies need to do more than the law requires. As the interviewees described it, business “data ethics” management consists of the ways in which a company determines how far it wants to go beyond legal minimums, and how it seeks to ach
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Odeh, Ammar, Anas Abu Taleb, Tareq Alhajahjeh, et al. "Data Privacy and Compliance in IoT." In Smart and Agile Cybersecurity for IoT and IIoT Environments. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3451-5.ch006.

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Анотація:
The chapter explores the critical aspects of data privacy and compliance within the rapidly expanding field of the internet of things (IoT). As IoT devices proliferate across consumer, industrial, and healthcare sectors, they bring with them significant challenges related to data security, privacy, and regulatory compliance. The integration of these devices into daily life raises substantial concerns about personal privacy, data breaches, and the ethical use of collected data. This discussion delves into the mechanisms IoT uses to collect, process, and store data; the associated privacy risks;
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Cook, Jack S., and Laura L. Cook. "Compliance with Data Management Laws." In Social, Ethical and Policy Implications of Information Technology. IGI Global, 2004. http://dx.doi.org/10.4018/978-1-59140-168-1.ch015.

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Анотація:
This chapter exposes professionals to laws dealing with data management. Both positive and negative aspects of legislation are highlighted. The purpose of this chapter is to expose the reader to some of the more interesting legal issues and provide insight into how information systems professionals and businesses may protect themselves from the negative ramifications of not complying with current legislation and the related negative publicity from such non-compliance. The increased ubiquitous nature of computing, coupled with the vast quantities of data gathered, increases the need for legisla
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Irfan, Mohammad, Saanvi Singhal, Ajay Kumar Yadav, and Fadillah Mansor. "Navigating GDPR Compliance." In Digital Technologies and Transformations in Public Administration, Engineering, and Sustainable Business. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1534-8.ch016.

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Анотація:
The General Data Protection Regulation (GDPR), implemented by the European Union (EU), safeguards the personal data and privacy of individuals, granting them greater control over how their information is used and stored. This legislation mandates businesses to maintain transparency and responsibility in handling personal data, ensuring enhanced privacy and security for users. GDPR has significantly transformed the landscape of digital marketing by redefining data collection and usage practices. It necessitates that marketers adopt clear and transparent methods to respect user rights, fostering
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"Data Privacy and Legal Considerations in Cyber Forensics." In Advances in Digital Crime, Forensics, and Cyber Terrorism. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-2960-3.ch012.

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Анотація:
In the era of digital transformation, cyber forensics has become an indispensable field for investigating and resolving cybercrimes. Cyber forensics, the science of recovering and analyzing digital evidence, plays a crucial role in criminal justice, corporate security, and data integrity. However, the field of cyber forensics is not without its challenges, particularly in relation to data privacy, legal compliance, and ethical considerations. This chapter delves into the complexities of these issues, offering a detailed examination of the legal frameworks, privacy concerns, ethical dilemmas, a
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Singha, Ranjit, and Surjit Singha. "AIoT Concepts and Integration." In Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0993-3.ch002.

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Integrating AIoT technologies provide businesses with increased productivity, cost savings, data-driven insights, and enhanced consumer interactions. Nevertheless, difficulties include data privacy, ethics, regulatory compliance, and technical complexities. The recommendations include transparent practices, accountability, bias mitigation, data minimization, informed consent, and ethical design. Policymakers must develop adaptable regulations, place a premium on privacy and security, and involve stakeholders. A user-centric approach and training in data ethics are essential. AIoT offers enormo
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Тези доповідей конференцій з теми "Ethical compliance Data privacy"

1

Li, Yihong. "Security and Privacy of Artificial Intelligence with Ethical Concerns." In 2024 IEEE 9th International Conference on Data Science in Cyberspace (DSC). IEEE, 2024. https://doi.org/10.1109/dsc63484.2024.00098.

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Trikha, Akash, Rahul Das, Sayani Chandra, Ramnwesh Kumar, and Himanshu Sekhar Muduli. "Data Privacy and Cybersecurity Law: Regulatory Challenges and Compliance Strategies." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910571.

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Kok, Chiang Liang, Chee Kit Ho, Charles Lee, Jovan Bo Wen Heng, and Tee Hui Teo. "Addressing Sustainability Challenges in AI Integration: Data Privacy, Accessibility, and Ethical Considerations." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902975.

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Mittoor, Gowthamkumar Reddy, Pamula Udayaraju, and Suresh Putteti. "Building Privacy-Aware Data Pipelines: Balancing Scalability, Compliance, and Performance in Modern Data Architectures." In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS). IEEE, 2025. https://doi.org/10.1109/icmlas64557.2025.10968671.

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Tionanda, Leandro Satyawira, Bun Jak Sin, Said Achmad, and Rhio Sutoyo. "Exploring the Ethical Landscape: Safeguarding Data Privacy in the Realm of Virtual Reality." In 2024 International Conference on Informatics Electrical and Electronics (ICIEE). IEEE, 2024. https://doi.org/10.1109/iciee63403.2024.10920350.

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Hu, Yan, Kurt Tutschku, Veselka Boeva, Prashant Goswami, Shahrooz Abghari, and Veronica Sundstedt. "Towards an Ethical and Data Privacy Metrology for AI-Enriched Human-Centered XR Systems." In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE, 2024. https://doi.org/10.1109/metroxraine62247.2024.10796457.

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Arora, Saransh, Sunil Raj Thota, and Sandeep Gupta. "Data Mining and Processing in the Age of Big Data and Artificial Intelligence - Issues, Privacy, and Ethical Considerations." In 2024 4th Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2024. https://doi.org/10.1109/asiancon62057.2024.10838087.

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El Refae, Ghaleb, Ahmad Ibrahim Aljumah, and Mohammed T. Nuseir. "Balancing AI Advancements and Data Privacy in Digital Marketing: A Conceptual Exploration of Ethical Considerations and Consumer Rights." In 2024 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS). IEEE, 2024. https://doi.org/10.1109/iccns62192.2024.10776477.

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Banciu, Doina, and Carmen Elena Cirnu. "AI Ethics and Data Privacy compliance." In 2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2022. http://dx.doi.org/10.1109/ecai54874.2022.9847510.

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Ivanova-Kadiri, Ivelina. "Transforming the CRM Diamond Model with Genetic Data Integration." In 8th International Scientific Conference – EMAN 2024 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2024. https://doi.org/10.31410/eman.s.p.2024.133.

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This paper explores the integration of genetic data into the CRM Diamond model, proposing a new model for CRM-Diamond with the incor­poration of customer genetic data. It offers insights into the implications for customer relationship management (CRM), emphasizing enhanced cus­tomer segmentation, personalized marketing strategies, and improved en­gagement. However, this integration presents challenges related to data pri­vacy, ethical considerations, and regulatory compliance. The study exam­ines these challenges and proposes strategies for responsible implementa­tion while ensuring transparen
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Звіти організацій з теми "Ethical compliance Data privacy"

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Shekeriak-Kushka, Yana. ETHICAL AND SECURITY ASPECTS OF DATA ANALYTICS IN JOURNALISM: THE CONTEXT OF THE RUSSIAN-UKRAINIAN WAR. Ivan Franko National University of Lviv, 2025. https://doi.org/10.30970/vjo.2025.56.13279.

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The purpose of this article is to examine the ethical and security aspects of data usage in data journalism, particularly in the context of wartime. It explores key risks associated with working with data, such as privacy violations, manipulation, and the reinforcement of stereotypes. The article analyzes the legislative framework for personal data protection in Ukraine and the EU, as well as specific challenges faced by journalists during the war, including the protection of information sources, anonymization of sensitive data, and ensuring civilian safety. Recommendations are proposed for et
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Pasupuleti, Murali Krishna. AI-Driven Marketing Innovations: Personalization and Ethics in the Digital Era. National Education Services, 2025. https://doi.org/10.62311/nesx/rr625.

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Abstract: This article explores the transformative impact of artificial intelligence (AI) on digital marketing, focusing on strategies for delivering personalized content and ensuring ethical advertising. By leveraging AI, marketers can now analyze consumer behavior with precision, enabling targeted content, automated ad placement, and real-time adjustments that enhance user engagement and conversions. The Article examines foundational AI techniques, such as recommendation engines, predictive analytics, and natural language processing, which drive personalization at scale. Additionally, it add
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Abdul Hamid, Umar Zakir. Privacy for Software-defined Battery Electric Vehicles. SAE International, 2024. http://dx.doi.org/10.4271/epr2024012.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The integration of software-defined approaches with software-defined battery electric vehicles brings forth challenges related to privacy regulations, such as European Union’s General Data Protection Regulation and Data Act, as well as the California Consumer Privacy Act. Compliance with these regulations poses barriers for foreign brands and startups seeking entry into these markets. Car manufacturers and suppliers, particularly software suppliers, must navigate complex privacy requirements when introducing vehicles to
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Vaz, Maria João, and Helena Machado. A systematic literature review of Big Data in tourism industry: a state of the art and future directions. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0012.

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Review question / Objective: P.E.O: Population, exposure, outcome. What privacy and data protection challenges are linked by different stakeholders, to the Big Data's application in the tourism sector: P - stakeholders; E - Big Data in tourism; O - privacy and data protection challenges. Condition being studied: This investigation aims to map the social and ethical controversies associated with the use of Big Data, addressing the “technological optimism” that tends to surround the use of these techniques in the tourism sector, which may compromise sustainable tourism in the long term. Main out
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Pasupuleti, Murali Krishna. Empathetic AI in Action: Transforming Customer Service with Emotional Intelligence. National Education Services, 2025. https://doi.org/10.62311/nesx/rr725.

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Abstract: This article explores the transformative impact of Emotionally Intelligent AI on customer service, focusing on how AI systems are designed to understand and respond to human emotions with empathy and precision. It delves into the core technologies, such as sentiment analysis, emotion recognition models, and reinforcement learning, that enable AI to provide emotionally aware interactions. Practical applications are discussed, including AI-powered customer support, personalized experiences, and crisis management solutions. The Article also covers the psychological foundations of AI-dri
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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu
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Baader, Franz, Francesco Kriegel, Adrian Nuradiansyah, and Rafael Peñaloza. Computing Compliant Anonymisations of Quantified ABoxes w.r.t. EL Policies (Extended Version). Technische Universität Dresden, 2020. http://dx.doi.org/10.25368/2022.263.

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We adapt existing approaches for privacy-preserving publishing of linked data to a setting where the data are given as Description Logic (DL) ABoxes with possibly anonymised (formally: existentially quantified) individuals and the privacy policies are expressed using sets of concepts of the DL EL. We provide a chacterization of compliance of such ABoxes w.r.t. EL policies, and show how optimal compliant anonymisations of ABoxes that are noncompliant can be computed. This work extends previous work on privacypreserving ontology publishing, in which a very restricted form of ABoxes, called insta
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Lao, Kenao, Agnes Akwang Obua-Ogwal, and Clement Adjorlolo. Biennial Review (BR) Data Management and Mutual Accountability Technical Working Group (TWG) 13 Report. AKADEMIYA2063, 2024. https://doi.org/10.54067/ktps.13.

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Published under the Kampala Technical Paper Series, This report was prepared by TWG13 under the framework of the Post-Malabo CAADP Agenda development process. The contents of this publication were developed following the review of published materials, stakeholder consultation reports, and expert perspectives on data management and mutual accountability issues within the context of CAADP. In this report, the Working Group emphasizes the importance of comprehensive data management and mutual accountability mechanisms to address information needs for evidence-based decision-making and targeted in
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Ferrero-Regis, Tiziana, Zoe Mellick, and Justine Coneybeer. Stitching a future: Ethical labour and growth in the Queensland fashion and clothing industry. Queensland University of Technology, 2024. https://doi.org/10.5204/rep.eprints.254521.

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Executive summary South-East Queensland (SEQ) is Australia’s third-largest regional hub for textile, clothing, and footwear (TCF) manufacturing in terms of economic output and workforce. As Australia pursues policies to reshore manufacturing, creating higher-quality jobs in areas such as sorting, repair, resale, remanufacture to meet environmental targets and growing consumer demand for sustainably and ethically produced goods, the importance of ethical accreditation frameworks has become more pronounced. The aim of this study is to explore stakeholder perceptions of the benefits and barriers
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Ryan, Matthew, Neerupma Bhardwaj, Miguel Camara, et al. Securing the future of microbiome research and innovation: the need for biobanking infrastructure in the UK. CABI, 2024. http://dx.doi.org/10.1079/20240382445.

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This report provides an in-depth review of the science and opportunities in microbiome biobanking, inspired by the success of the UK Biobank. It delivers actionable recommendations to establish a world-leading "UK Microbiome Biobank" (UKMB) to support academic and industrial research. The report highlights the importance of microbes in health, agriculture, and the environment, and the need to conserve microbial resources for research and innovation. Key recommendations include establishing the UKMB as a hub-and-spoke model with thematic areas, incorporating existing infrastructure, promoting d
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