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Journal articles on the topic 'PRIVACY AND ETHICAL'

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1

Ruotsalainen, Pekka, and Bernd Blobel. "Health Information Systems in the Digital Health Ecosystem—Problems and Solutions for Ethics, Trust and Privacy." International Journal of Environmental Research and Public Health 17, no. 9 (2020): 3006. http://dx.doi.org/10.3390/ijerph17093006.

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Digital health information systems (DHIS) are increasingly members of ecosystems, collecting, using and sharing a huge amount of personal health information (PHI), frequently without control and authorization through the data subject. From the data subject’s perspective, there is frequently no guarantee and therefore no trust that PHI is processed ethically in Digital Health Ecosystems. This results in new ethical, privacy and trust challenges to be solved. The authors’ objective is to find a combination of ethical principles, privacy and trust models, together enabling design, implementation
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Zhang, Tong-Kuo. "Perspective and Boundary Exploration of Privacy Transfer Dilemma in Brain–Computer Interface—Dimension Based on Ethical Matrix." Philosophies 9, no. 1 (2024): 10. http://dx.doi.org/10.3390/philosophies9010010.

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The advent of intelligent technologies, notably Brain–Computer Interfaces (BCIs), has introduced novel privacy dilemmas. Ensuring judicious privacy transfer is imperative for the application of BCI technology and pivotal for fostering economic and technological progress. This study adopts privacy transfer as the research perspective and employs an ethical matrix as the research method. It establishes BCI users as the central core interests, with marketers, developers, and medical personnel as stakeholders. Departing from the binary opposition of public and private in traditional privacy theory
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Gomathy, Dr C. K., Dr V. Geetha, S. R. Bathrinathan, and Shiva Koushik Sripada. "EXPLORING THE ETHICAL CONSIDERATIONS OF BIOMETRICS IN CYBERSECURITY." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 09 (2024): 1–8. http://dx.doi.org/10.55041/ijsrem37507.

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Abstract—This article offers a thorough investigation of the ethical concerns related to employing biometrics in cybersecurity. It investigates the importance of biometric technology, its effects on privacy and security, and the moral challenges it raises. By extensively examining literature, case studies, and ethical principles, this paper seeks to offer perspectives on how people, institutions, and policymakers can address the ethical complexities associated with using biometrics in cybersecurity while guaranteeing responsible and ethically sound practices. Keywords—Biometrics, Cybersecurity
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Landau, Susan. "Security and Privacy: Facing Ethical Choices." IEEE Security & Privacy 12, no. 4 (2014): 3–6. http://dx.doi.org/10.1109/msp.2014.75.

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Wright, D., and M. Friedewald. "Integrating privacy and ethical impact assessments." Science and Public Policy 40, no. 6 (2013): 755–66. http://dx.doi.org/10.1093/scipol/sct083.

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Macri, Martha, and James Sarmento. "Respecting privacy: Ethical and pragmatic considerations." Language & Communication 30, no. 3 (2010): 192–97. http://dx.doi.org/10.1016/j.langcom.2009.11.005.

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Caudill, Eve M., and Patrick E. Murphy. "Consumer Online Privacy: Legal and Ethical Issues." Journal of Public Policy & Marketing 19, no. 1 (2000): 7–19. http://dx.doi.org/10.1509/jppm.19.1.7.16951.

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Consumer privacy is a public policy issue that has received substantial attention over the last thirty years. The phenomenal growth of the Internet has spawned several new concerns about protecting the privacy of consumers. The authors examine both historical and conceptual analyses of privacy and discuss domestic and international regulatory and self-regulatory approaches to confronting privacy issues on the Internet. The authors also review ethical theories that apply to consumer privacy and offer specific suggestions for corporate ethical policy and public policy as well as a research agend
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Gomathy, Dr C. K., Dr V. Geetha, Mr S. Aravind, and V. Venkata Surya. "Ethical Implications of Cybersecurity Breaches and Data Privacy Violations." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 09 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem37506.

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The increasing reliance on digital technology has led to a surge in cybersecurity breaches and data privacy violations. These incidents raise significant ethical concerns, impacting individuals, organizations, and society as a whole. This paper explores the ethical ramifications of such breaches, focusing on issues like privacy intrusion, potential harm to individuals, and the erosion of trust. It further examines the ethical obligations of organizations in data collection, storage, and security practices. Finally, the paper discusses potential solutions and approaches to mitigate these ethica
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Sargiotis, Dimitrios. "Ethical AI in Information Technology: Navigating Bias, Privacy, Transparency, and Accountability." Advances in Machine Learning & Artificial Intelligence 5, no. 3 (2024): 01–14. http://dx.doi.org/10.33140/amlai.05.03.03.

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The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed the landscape of information technology (IT), offering unprecedented opportunities for innovation and efficiency. However, these advancements also bring significant ethical challenges, including issues of bias, privacy, transparency, and accountability. This paper explores these ethical challenges and proposes a comprehensive ethical framework for the responsible development and deployment of AI in IT. Through an examination of historical context, current trends, and detailed case studies, the fram
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York, Emily, and Ahmad Salman. "Privacy in a Connected World." Teaching Ethics 19, no. 2 (2019): 171–93. http://dx.doi.org/10.5840/tej202091480.

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In this paper, we present an approach to collaborative multi-disciplinary teaching as a method of integrating ethical reasoning into an applied science curriculum. Bringing together two faculty—one from computer engineering and one from science, technology, and society—to co-teach a two-semester upper-level sequence on holistic problem solving focused on “privacy in a connected world,” we model ethical reasoning as a habit of mind. We argue that this practice of modeling through multi-disciplinary teaching demonstrates for students that ethical reasoning is an intrinsic part of addressing comp
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Adanyin, Anthonette. "Ethical AI in Retail: Consumer Privacy and Fairness." European Journal of Computer Science and Information Technology 12, no. 7 (2024): 21–35. http://dx.doi.org/10.37745/ejcsit.2013/vol12n72135.

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The adoption of artificial intelligence (AI) in retail has significantly transformed the industry, enabling more personalized services and efficient operations. However, the rapid implementation of AI technologies raises ethical concerns, particularly regarding consumer privacy and fairness. This study aims to analyze the ethical challenges of AI applications in retail, explore ways retailers can implement AI technologies ethically while remaining competitive, and provide recommendations on ethical AI practices. A descriptive survey design was used to collect data from 300 respondents across m
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Okoli, Isaac, Mavis Appoh, Olufunke Anne Alabi, et al. "Data Privacy in Social Studies Research: A Comprehensive Review: Investigating Ethical Standards, Challenges, and Emerging Protocols in the Digital Age." Journal of Frontiers in Multidisciplinary Research 5, no. 1 (2024): 205–17. https://doi.org/10.54660/.jfmr.2024.5.1.205-217.

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This study provides a comprehensive review of the evolving landscape of data privacy within social studies research, particularly in the context of the digital age. It aims to explore the ethical standards, challenges, and emerging protocols that govern the collection, analysis, and protection of digital data. Employing a systematic literature review and content analysis, the study examines peer-reviewed articles, legal documents, and ethical guidelines from 2008 to 2024, focusing on the impact of technological advancements on data privacy. Key findings highlight the critical importance of inf
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V G, Ranimol, Sreejaa G Nair, and Jayanthi V. "Exploring Ethical Concerns Among Students: The Impact of AI Usage in Education." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04845.

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This study investigates the ethical concerns of students regarding the use of artificial intelligence (AI) in educational settings, focusing on three key factors: prior experience with AI tools, awareness of AI technology, and privacy concerns. As AI becomes increasingly integrated into academic environments through applications like online proctoring, AI tutoring, and automated grading, understanding students' perceptions of its ethical implications is essential. The research aims to measure the extent of students' concerns about AI's fairness, transparency, and data privacy practices. Using
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Foxman, Ellen R., and Paula Kilcoyne. "Information Technology, Marketing Practice, and Consumer Privacy: Ethical Issues." Journal of Public Policy & Marketing 12, no. 1 (1993): 106–19. http://dx.doi.org/10.1177/074391569501200111.

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Marketers’ use of the new information technologies has provided the opportunity for improved market segmentation and target marketing. However, the profession faces ethical conflicts because application of these technologies commonly invades consumer privacy. The authors examine the ethical dimensions of marketing practice in relation to consumer privacy. The meaning of privacy in a marketing context is explored and specific marketing threats to consumer privacy are described. After examining current and potential mechanisms to safeguard consumer privacy, the authors conclude that marketers mu
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Kumar, Devender, and Himanshu Rajput. "Consumers’ Privacy & Ethical Issues Towards Mobile Marketing in India." Indian Journal of Applied Research 4, no. 3 (2011): 251–53. http://dx.doi.org/10.15373/2249555x/mar2014/77.

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Puri, Aarushi. "Legal Challenges and Considerations in Implementing Telemedicine Services." International Journal of Social Science and Economic Research 09, no. 09 (2024): 3453–59. http://dx.doi.org/10.46609/ijsser.2024.v09i09.017.

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Through this paper, I examine the legal and ethical issues surrounding telemedicine in India, with the goal of helping to develop a robust and compliant telemedicine framework. I analyzed the current legal framework in India, based on the Telemedicine Practice Guidelines, Medical Council Act, and Information Technology Act. The study found gaps regarding licensing, liability, credentialing, and data privacy without comprehensive data protection laws. Ethical issues were also explored, including informed consent, equitable healthcare access, patient privacy, and maintaining care quality in virt
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Bansal, Harshit. "Ethical Espionage: Balancing Privacy and Information Gathering." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 1879–81. http://dx.doi.org/10.22214/ijraset.2023.53909.

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Abstract: Espionage, the covert collection of information, has long been a subject of controversy and debate. Recent technological advancements, particularly in mobile applications, have introduced discreet video recording, raising ethical concerns regarding privacy invasion and potential misuse. This research paper delves into the concept of ethical espionage by examining the implications, challenges, and potential benefits of an Android app designed for discreet video recording. It analyses the ethical considerations associated with such applications and proposes guidelines for responsible u
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Sultan, Moehammad Iqbal, and Andi Subhan Amir. "Privacy Concerns in Digital Journalism: Balancing Transparency and Ethical Reporting." Jurnal ASPIKOM 8, no. 2 (2023): 371. http://dx.doi.org/10.24329/aspikom.v8i2.1410.

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This study investigates the ethical dimensions of digital journalism with a focus on privacy, aiming to shed light on the challenges faced by journalists in balancing transparency with the protection of individual privacy rights. A qualitative analysis was conducted, incorporating case studies and an examination of legal frameworks to understand the ethical dilemmas digital journalists encounter. Additionally, established best practices were analyzed to ascertain effective strategies for addressing privacy concerns. The study revealed that journalists encounter multifaceted ethical challenges
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Jacobs, Danielle, Troy McDaniel, Arvind Varsani, Rolf U. Halden, Stephanie Forrest, and Heewook Lee. "Wastewater Monitoring Raises Privacy and Ethical Considerations." IEEE Transactions on Technology and Society 2, no. 3 (2021): 116–21. http://dx.doi.org/10.1109/tts.2021.3073886.

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Rainone, Sebastian M., Janice C. Sipior, and Burke T. Ward. "Ethical Management of Employee E-mail Privacy." Information Strategy: The Executive's Journal 14, no. 3 (1998): 34–40. http://dx.doi.org/10.1080/07438613.1998.10744590.

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Sipior, Janice C., Burke T. Ward, and Sebastian M. Rainone. "Ethical Management of Employee E-Mail Privacy." Information Systems Management 15, no. 1 (1998): 41–47. http://dx.doi.org/10.1201/1078/43183.15.1.19980101/31101.6.

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22

Pardo, Abelardo, and George Siemens. "Ethical and privacy principles for learning analytics." British Journal of Educational Technology 45, no. 3 (2014): 438–50. http://dx.doi.org/10.1111/bjet.12152.

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23

Cooper, Steven H. "Privacy, Reverie, and The Analyst’s Ethical Imagination." Psychoanalytic Quarterly 77, no. 4 (2008): 1045–73. http://dx.doi.org/10.1002/j.2167-4086.2008.tb00375.x.

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Ugochukwu Francis Ikwuanusi, Peter Adeyemo Adepoju, and Chinekwu Somtochukwu Odionu. "https://orionjournals.com/ijmru/ArchiveIssue-2023-Vol6-Issue2." International Journal of Multidisciplinary Research Updates 6, no. 2 (2023): 033–44. https://doi.org/10.53430/ijmru.2023.6.1.0063.

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As libraries increasingly integrate Artificial Intelligence (AI) to enhance operations and user experiences, data privacy has emerged as a critical concern. Libraries collect vast amounts of user data, including borrowing histories, digital interactions, and demographic information, making them susceptible to privacy risks such as unauthorized access, data breaches, and algorithmic profiling. This study investigates the role of ethical AI practices in addressing these data privacy issues, ensuring trust, transparency, and compliance with global privacy standards. Ethical AI emphasizes principl
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Siramgari, Dayakar, and Laxminarayana Korada. "Privacy and Anonymity." International Journal of Intelligent Systems and Applications in Engineering 7, no. 4 (2019): 255–65. https://doi.org/10.5281/zenodo.14567952.

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In the digital era, privacy and anonymity are becoming increasingly crucial because of widespread monitoring and data collection by corporations and governments. This study examines the ethical, legal, and technological aspects of privacy and anonymity, particularly in relation to surveillance capitalism, commodification of personal data, and individuals' expectations of privacy. It discusses the distinction between privacy and anonymity, highlighting the need for privacy-preserving measures such as encryption, differential privacy, and anonymization techniques. Additionally, this study explor
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KU, In-Hoe. "Ethical Problems of Genetic Engineering and Responsibilities of Geneticists." Korean Journal of Medical Ethics 3, no. 2 (2000): 183–97. http://dx.doi.org/10.35301/ksme.2000.3.2.183.

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The development of molecular genetics has provided tools not only for the diagnosis of genetic diseases and disease dispositions in affected individuals, but also for the detection of healthy carriers of recessive hereditary traits. The growth in DNA data banks threatens individual privacy, as competing private medical and life insurance companies already do. With a growing number of diseases we can expect more cases of exclusion unless anti-discrimination laws for insurance companies are introduced. Social policy must decide how to preserve privacy and prevent discrimination by employers and
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Dhawan, Shubhang, and Krishan Kumar. "Ethical Implications of AI in Healthcare." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem29006.

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This article affords a survey evaluation of the literature at the ethics of artificial intelligence (AI) in healthcare. The integration of artificial intelligence (AI) into healthcare can transform analysis, remedy and affected person care. However, this speedy development raises moral concerns associated with affected person privacy, information protection and potential bias of AI algorithms. This article explores the moral implications of AI for healthcare and examines the first-rate stability between exploiting the progressive capability of AI and shielding patient privacy. Through an in-de
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Yang, Ming, and FuYuan Weng. "AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms." Journal of Information Systems Engineering and Management 8, no. 1 (2023): 23196. http://dx.doi.org/10.55267/iadt.07.14079.

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Since college students rely more on online education, artificial intelligence (AI) is changing virtual learning paths. The study shows how schools are personalising instruction and improving student engagement, comprehension, and retention with AI algorithms and data analytics. The essay covers key features of AI-powered personalised learning , from content recommendations to customisable evaluations and real-time feedback. The essay critiques these innovations' ethical and transparency difficulties, despite their potential benefits. It emphasises ethical AI-driven teaching by highlig
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Gold Nmesoma Okorie, Chioma Ann Udeh, Ejuma Martha Adaga, Obinna Donald DaraOjimba, and Osato Itohan Oriekhoe. "ETHICAL CONSIDERATIONS IN DATA COLLECTION AND ANALYSIS: A REVIEW: INVESTIGATING ETHICAL PRACTICES AND CHALLENGES IN MODERN DATA COLLECTION AND ANALYSIS." International Journal of Applied Research in Social Sciences 6, no. 1 (2024): 1–22. http://dx.doi.org/10.51594/ijarss.v6i1.688.

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In an era where data profoundly influences decision-making across various sectors, this comprehensive review critically examines the evolving landscape of data science ethics, particularly focusing on the interplay between technological advancements and ethical standards. The study aims to investigate and synthesize current ethical practices and challenges in modern data collection and analysis, tracing the evolution of ethical standards in data science, understanding the significance of ethical considerations in contemporary data practices, and exploring the development of global regulatory a
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Nurhasanah, Siti, and Mulyawan Safwandy Nugraha. "The Future of Learning: Ethical and Philosophical Implications of Artificial Intelligence (AI) Integration in Education." Indonesian Journal of Multidiciplinary Research 4, no. 2 (2024): 341–52. https://doi.org/10.17509/ijomr.v4i2.78038.

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This study examines the ethical and philosophical implications of integrating artificial intelligence (AI) in education. In today's digital era, AI holds promise for enhancing educational quality and accessibility through personalized learning, data analysis, and task automation. However, it raises ethical concerns, such as data privacy, algorithmic bias, and reduced human interaction. To explore these issues, we conducted a literature review of academic sources, including journals and research reports. Our findings suggest that while AI can improve learning efficiency and personalization, sig
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Anisha, Godse, and Kulkarni Akanksha. "The Study on Data Science: Ethics and Privacy." Journal of Network Security and Data Mining 6, no. 2 (2023): 30–41. https://doi.org/10.5281/zenodo.7965406.

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<em>Data science has become an essential tool for extracting valuable insights from vast amounts of data. However, with the increasing use of data science comes the need to address ethical issues related to data privacy, algorithmic bias, and the responsible use of data for social good. This paper examines the ethical considerations involved in data science, with a focus on balancing the utility of data with the privacy rights of individuals. The paper first provides an overview of the current ethical landscape in data science, including recent controversies and regulatory frameworks. It then
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Saeidnia, Hamid Reza, Seyed Ghasem Hashemi Fotami, Brady Lund, and Nasrin Ghiasi. "Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact." Social Sciences 13, no. 7 (2024): 381. http://dx.doi.org/10.3390/socsci13070381.

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AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial to address ethical concerns to ensure responsible and beneficial outcomes for individuals. This systematic review examines the ethical considerations surrounding the implementation and impact of artificial intelligence (AI) interventions in the field of mental health and well-being. To ensure a comprehensive analysis, we employed a structured search strategy across top academic databases, including PubMed, PsycINFO, Web of Science, and Scopus. The s
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Kim, Sanghui, and DongBack Seo. "Ethical Consciousness : Passive Privacy Intrusion versus Active Privacy Intrusion on a SNS." Information Systems Review 24, no. 4 (2022): 55–76. http://dx.doi.org/10.14329/isr.2022.24.4.055.

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Bamidis, P., C. Bond, E. Gabarron, et al. "Ethical Issues of Social Media Usage in Healthcare." Yearbook of Medical Informatics 24, no. 01 (2015): 137–47. http://dx.doi.org/10.15265/iy-2015-001.

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Summary Objective: Social media, web and mobile technologies are increasingly used in healthcare and directly support patient-centered care. Patients benefit from disease self-management tools, contact to others, and closer monitoring. Researchers study drug efficiency, or recruit patients for clinical studies via these technologies. However, low communication barriers in social-media, limited privacy and security issues lead to problems from an ethical perspective. This paper summarizes the ethical issues to be considered when social media is exploited in healthcare contexts. Methods: Startin
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Latha Narayanan Valli, N.Sujatha, Mukul Mech, and Lokesh V S. "Ethical considerations in data science: Balancing privacy and utility." International Journal of Science and Research Archive 11, no. 1 (2024): 011–22. http://dx.doi.org/10.30574/ijsra.2024.11.1.1098.

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As data science continues to permeate diverse domains, the ethical interplay between privacy and utility has emerged as a critical concern. This study meticulously investigates this intricate balance by examining established ethical frameworks, scrutinising the ethical implications of federated learning, and proposing a user-centric approach to obtaining informed consent. A total of 243 participants contributed to the study, providing insights from various demographic backgrounds. The investigation into ethical framework adaptation revealed a nuanced landscape of perspectives. While a signific
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Stamatellos, Giannis. "Virtue, Privacy and Self-Determination." International Journal of Cyber Ethics in Education 1, no. 4 (2011): 35–41. http://dx.doi.org/10.4018/ijcee.2011100104.

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The ethical problem of privacy lies at the core of computer ethics and cyber ethics discussions. The extensive use of personal data in digital networks poses a serious threat to the user’s right of privacy not only at the level of a user’s data integrity and security but also at the level of a user’s identity and freedom. In normative ethical theory the need for an informational self-deterministic approach of privacy is stressed with greater emphasis on the control over personal data. However, scant attention has been paid on a virtue ethics approach of information privacy. Plotinus’ discussio
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B T, Dr Chitra. "Privacy and Innovation in IoT: Legal, Ethical, and Entrepreneurial Perspectives." International Journal for Research in Applied Science and Engineering Technology 13, no. 7 (2025): 164–74. https://doi.org/10.22214/ijraset.2025.72885.

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Privacy is a major concern in the era of connected technologies, especially with the exponential growth of Internet of Things (IoT) devices that collect sensitive personal data. This paper, titled Privacy Protection in IoT Data Collection, explores how entrepreneurs can address these concerns through privacy-preserving technologies, compliance with national and international laws, and the strategic use of intellectual property rights (IPR). Ensuring the privacy and security of this data is paramount to building trust and encouraging widespread adoption of IoT technologies. The paper examines v
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Milutinovic, Milica, and Bart De Decker. "Ethical aspects in eHealth – design of a privacy-friendly system." Journal of Information, Communication and Ethics in Society 14, no. 1 (2016): 49–69. http://dx.doi.org/10.1108/jices-06-2014-0028.

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Purpose – The medical advances and historical fluctuations in the demographics are contributing to the rise of the average age. These changes are increasing the pressure to organize adequate care to a growing number of individuals. As a way to provide efficient and cost-effective care, eHealth systems are gaining importance. However, this trend is creating new ethical concerns. Major issues are privacy and patients’ control over their data. To deploy these systems on a large scale, they need to offer strict privacy protection. Even though many research proposals focus on eHealth systems and re
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Mulligan, Deirdre K., Colin Koopman, and Nick Doty. "Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374, no. 2083 (2016): 20160118. http://dx.doi.org/10.1098/rsta.2016.0118.

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The meaning of privacy has been much disputed throughout its history in response to wave after wave of new technological capabilities and social configurations. The current round of disputes over privacy fuelled by data science has been a cause of despair for many commentators and a death knell for privacy itself for others. We argue that privacy’s disputes are neither an accidental feature of the concept nor a lamentable condition of its applicability. Privacy is essentially contested. Because it is, privacy is transformable according to changing technological and social conditions. To make p
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Chiranjeevi, Bura, Kamatala Srikanth, and Kumar Myakala Praveen. "Ethical Challenges in Data Science: Navigating the Complex Landscape of Responsibility and Fairness." International Journal of Current Science Research and Review 08, no. 03 (2025): 1067–78. https://doi.org/10.5281/zenodo.14986766.

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Abstract : The rapid advancement of data science and artificial intelligence (AI) has revolutionized decision-making across multiple domains, including healthcare, finance, and law enforcement. However, these advancements come with pressing ethical challenges, such as algorithmic bias, data privacy risks, and lack of transparency. This paper systematically analyzes these ethical concerns, focusing on state-of-the-art methodologies for bias detection, explainable AI (XAI), and privacy-preserving techniques. We provide a comparative evaluation of ethical frameworks, including the ACM Code of Eth
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Om, Giratkar. "Designing Ethically and Ensuring User Privacy in Human-Computer Interaction." Designing Ethically and Ensuring User Privacy in Human-Computer Interaction 8, no. 9 (2023): 2. https://doi.org/10.5281/zenodo.10002637.

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This research paper delves into the ethical aspects and obstacles linked to user privacy within the realm of human-computer interaction (HCI). It examines impact of data collection practices, dark patterns, and persuasive design techniques on user autonomy and privacy. The paper proposes strategies and guidelines for ethical HCI design and user privacy protection.&nbsp;
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Bose, Utpal. "Analyzing the Ethical Dilemma between Protecting Consumer Privacy and Marketing Customer Data." International Journal of Dependable and Trustworthy Information Systems 2, no. 3 (2011): 55–68. http://dx.doi.org/10.4018/jdtis.2011070104.

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Rapid transformation in marketing information technologies has enabled corporations to build ample consumer databases and analyze those using sophisticated data-mining techniques to obtain extensive knowledge about those consumers’ personal life styles and private matters. Considering that the United States Federal Trade Commission (FTC) has relied on fair information principles to guide privacy regulation and left it relatively unregulated, the burden of practicing consumer privacy lies mostly on the marketers who have to follow ethical behavior and maintain consumer privacy. In this paper th
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Oluwatobi Opeyemi Adeyelu, Chinonye Esther Ugochukwu, and Mutiu Alade Shonibare. "ETHICAL IMPLICATIONS OF AI IN FINANCIAL DECISION – MAKING: A REVIEW WITH REAL WORLD APPLICATIONS." International Journal of Applied Research in Social Sciences 6, no. 4 (2024): 608–30. http://dx.doi.org/10.51594/ijarss.v6i4.1033.

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This study delves into the ethical implications of Artificial Intelligence (AI) in financial decision-making, exploring the transformative impact of AI technologies on the financial services sector. Through a comprehensive literature review, the research highlights the dual nature of AI's integration into finance, showcasing both its potential to enhance operational efficiency and decision accuracy and the ethical challenges it introduces. These challenges include concerns over data privacy, algorithmic bias, and the potential for systemic risks, underscoring the need for robust ethical framew
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Oktaviani Putri Dita, Radittya Mahasputra Antara, and Agung Winarno. "Tanggung Jawab Etis Penggunaan Artificial Intelligence Di Tanah Pendidikan: Formulasi Paradigma Baru Untuk Teknologi Otonom." Jurnal Manajemen Kewirausahaan dan Teknologi 1, no. 4 (2024): 58–83. https://doi.org/10.61132/jumaket.v1i4.388.

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This study examines the application of Immanuel Kant's ethical principles in the use of autonomous technology based on Artificial Intelligence (AI) in the academic domain. AI technology has significantly impacted academic efficiency and innovation but has also raised serious ethical challenges, such as algorithmic bias, dependency on technology, and threats to privacy and transparency. Using a Kantian ethical approach, this research identifies key issues and proposes an ethical framework that places justice, transparency, and respect for human dignity at the core of the design and implementati
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Oktaviani Putri Dita, Radittya Mahasputra Antara, and Agung Winarno. "Tanggung Jawab Etis Penggunaan Artificial Intelligence di Tanah Pendidikan: Formulasi Paradigma Baru Untuk Teknologi Otonom." MASMAN Master Manajemen 3, no. 2 (2025): 57–83. https://doi.org/10.59603/masman.v3i2.816.

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This study examines the application of Immanuel Kant's ethical principles in the use of autonomous technology based on Artificial Intelligence (AI) in the academic domain. AI technology has significantly impacted academic efficiency and innovation but has also raised serious ethical challenges, such as algorithmic bias, dependency on technology, and threats to privacy and transparency. Using a Kantian ethical approach, this research identifies key issues and proposes an ethical framework that places justice, transparency, and respect for human dignity at the core of the design and implementati
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46

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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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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KAPLAN, BONNIE. "How Should Health Data Be Used?" Cambridge Quarterly of Healthcare Ethics 25, no. 2 (2016): 312–29. http://dx.doi.org/10.1017/s0963180115000614.

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Abstract:Electronic health records, data sharing, big data, data mining, and secondary use are enabling exciting opportunities for improving health and healthcare while also exacerbating privacy concerns. Two court cases about selling prescription data, the Sorrell case in the U.S. and the Source case in the U.K., raise questions of what constitutes “privacy” and “public interest”; they present an opportunity for ethical analysis of data privacy, commodifying data for sale and ownership, combining public and private data, data for research, and transparency and consent. These interwoven issues
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Naeem, Meshal Muhammad, Huma Sarwar, Muhammad Talha Hassan, et al. "Exploring the ethical and privacy implications of artificial intelligence in dentistry." International journal of health sciences 7, S1 (2023): 904–15. http://dx.doi.org/10.53730/ijhs.v7ns1.14294.

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Artificial intelligence (AI) 's rapid advancement in dentistry has brought numerous benefits, such as improved diagnosis, treatment planning, and patient care. However, the implementation of AI in this field raises significant ethical and privacy concerns. This study aims to explore AI’s ethical and privacy implications in dentistry and analyze the perspectives of dental professionals and patients. To achieve this, a quantitative research methods approach was employed. A survey was administered to 50 Dentists, Dental Professionals, AI Developers, and Dental Patients. A survey questionnaire was
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Kumar, Amaresh. "Exploring Ethical Considerations in AI-driven Autonomous Vehicles: Balancing Safety and Privacy." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 2, no. 1 (2024): 125–38. http://dx.doi.org/10.60087/jaigs.v2i1.p138.

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The deployment of autonomous vehicles (AVs) powered by artificial intelligence (AI) raises profound ethical questions regarding the balance between safety and privacy. While AI-driven AVs promise to revolutionize transportation by potentially reducing accidents and increasing efficiency, concerns regarding data privacy, liability, and decision-making algorithms persist. This paper explores the ethical considerations surrounding AI-driven AVs, focusing particularly on the delicate equilibrium required to ensure both safety and privacy. Drawing upon existing literature and case studies, the pape
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Peng, Fei. "Analysis of the Ethical Lapses in Journalism When Using Chat Records for Reporting." Lecture Notes in Education Psychology and Public Media 50, no. 1 (2024): 282–87. http://dx.doi.org/10.54254/2753-7048/50/20240971.

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In the current era, news stories that utilize private chat records from social media as source material have attracted a substantial audience. However, there has been public debate regarding whether this practice breaches individual privacy management primarily and crosses the boundaries of journalistic ethics. This paper investigates the phenomenon of using private chat records from social media as news material, and its impact on personal privacy management and the boundaries of journalistic ethics. Specifically, the study focuses on how this practice disrupts the privacy management of chat
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