References
- Mizna S, Arora S, Saluja P, Das G, Alanesi WA. An analytic research and review of the literature on practice of artificial intelligence in healthcare. Eur J Med Res 2025; 30(1): 382.
- Rehman AU, Li M, Wu B, Ali Y, Rasheed S, Shaheen S, et al. Role of artificial intelligence in revolutionizing drug discovery. Fundam Res 2024 May; 5(3): 1273-1287.
- Hemmatyar A, Soleymani S, Khosravi-Mashizi M, Saberi A, Shirinzadeh-Dastgiri A, Naseri A, et al. Ethical Considerations in the Use of the da Vinci Surgical System in Modern Surgery. Indian J Surg Oncol 2025.
- Ienca M, Wangmo T, Jotterand F, Kressig RW, Elger B. Ethical Design of Intelligent Assistive Technologies for Dementia: A Descriptive Review. Sci Eng Ethics. 2018; 24(4): 1035–55.
- Panahi O. Health in the Age of AI: A Family and Community Focus. Archives of Community and Family Medicine 2025; 8(1):11–20.
- Santoni de Sio F, van den Hoven J. Meaningful Human Control over Autonomous Systems: A Philosophical Account. Front Robot AI 2018 Feb; 5.
- Burrell J. How the Machine “Thinks:” Understanding Opacity in Machine Learning Algorithms. SSRN Electronic Journal 2015.
- Calo R. Robotics and the New Cyberlaw. SSRN Electronic Journal 2014.
- Law KF, Syropoulos S, Earp BD. Artificial intelligence, existential risk and equity: the need for multigenerational bioethics. J Med Ethics. 2024; 50(12): 799–801.
- Jecker NS, Atuire CA, Bélisle-Pipon JC, Ravitsky V, Ho A. Stoking fears of AI X-Risk (while forgetting justice here and now). J Med Ethics. 2024; 50(12):827–8.
- Müller VC. Ethics of Artificial Intelligence and Robotics. In: E. N. Zalta, editor. The Stanford Encyclopedia of Philosophy; 2020.
- Thomson JJ. The Trolley Problem. The Yale Law Journal Company, Inc. 1985;94(6): 1395–415.
- Porter Z, Habli I, McDermid J, Kaas M. A principles-based ethics assurance argument pattern for AI and autonomous systems. AI and Ethics 2024; 4(2): 593–616.
- Manna R, Nath R. Kantian Moral Agency and the Ethics of Artificial Intelligence. Problemos 2021; 100:139–51.
- Groff R, and Symons J. Is AI Capable of Aristotelian Full Moral Virtue? In: Artificial Dispositions: Investigating Ethical and Metaphysical Issues. Sciendo; 2023. p. 45–58.
- Onyeukaziri JN. Artificial Intelligence and an Anthropological Ethics of Work: Implications on the Social Teaching of the Church. Religions (Basel) 2024; 15(5): 623.
- Chen W, Chi W, Ji S, Ye H, Liu J, Jia Y, et al. A survey of autonomous robots and multi-robot navigation: Perception, planning and collaboration. Biomimetic Intelligence and Robotics 2025; 5(2): 100203.
- Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med 2019; 25(1): 44–56.
- Fuchs C. Dallas Smythe Today - The Audience Commodity, the Digital Labour Debate, Marxist Political Economy and Critical Theory. tripleC: Communication, Capitalism & Critique Open Access Journal for a Global Sustainable Information Society 2012; 10(2): 692–740.
- Kalberg S. The Protestant Ethic and the Spirit of Capitalism. The Stanford Encyclopedia of Philosophy 2020.
- Habermas J. The Theory of Communicative Action, Volume 1: Reason and the Rationalization of Society. 1st ed. T. McCarthy (Translator), editor. Vol. 1. Boston, MA: Beacon Press; 1984.
- Rifkin J. The End of Work: The Decline of the Global Labor Force and the Dawn of the Post-Market Era. 1st ed. New York, NY: Putnam Publishing Group; 1995.
- OECD Economic Outlook, Volume 2023 Issue 1. OECD; 2023.
- World Economic Forum. The Future of Jobs Report 2020. 2020.
- Harari YN. Homo Deus: A Brief History of Tomorrow. 1st ed. New York: HarperCollins; 2017.
- Arendt H. The Human Condition. 1st ed. Chicago, IL: University of Chicago Press; 1958.
- van Wynsberghe A. Healthcare Robots: Ethics, Design, and Implementation. 1st ed. New York: Routledge; 2016.
- Maleki Varnosfaderani S, Forouzanfar M. The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century. Bioengineering. 2024; 11(4): 337.
- Hoppe N, Härting RC, Rahmel A. Potential Benefits of Artificial Intelligence in Healthcare 2023; 225–49.
- Chustecki M. Benefits and Risks of AI in Health Care: Narrative Review. Interact J Med Res 2024; 13: e53616.
- Moulaei K, Yadegari A, Baharestani M, Farzanbakhsh S, Sabet B, Reza Afrash M. Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications. Int J Med Inform 2024; 188: 105474.
- Lane WB. Student interactions with generative AI. Nat Phys 2025; 21(6): 866–7.
- Jin Q, Chen F, Zhou Y, Xu Z, Cheung JM, Chen R, et al. Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. NPJ Digit Med 2024; 7(1): 190.
- Zhang J, Patel VL, Johnson TR, Shortliffe EH. A cognitive taxonomy of medical errors. J Biomed Inform 2004; 37(3): 193–204.
- Garrouste-Orgeas M, Philippart F, Bruel C, Max A, Lau N, Misset B. Overview of medical errors and adverse events. Ann Intensive Care 2012; 2(1): 2.
- Wachter RM, Brynjolfsson E. Will Generative Artificial Intelligence Deliver on Its Promise in Health Care? JAMA 2024; 331(1): 65.
- Panch T, Mattie H, Celi LA. The “inconvenient truth” about AI in healthcare. NPJ Digit Med 2019; 2(1): 77.
- ElHassan BT, Arabi AA. Ethical forethoughts on the use of artificial intelligence in medicine. International Journal of Ethics and Systems 2025; 41(1): 35–44.
- Terranova C, Cestonaro C, Fava L, Cinquetti A. AI and professional liability assessment in healthcare. A revolution in legal medicine? Front Med (Lausanne) 2024; 10: 1337335.
- Baurasien BK, Alareefi HS, Almutairi Diyanah Bander, Alanazi Maserah Mubrad, Alhasson Aseel Hasson, Alshahrani AD, et al. Medical errors and patient safety: Strategies for reducing errors using artificial intelligence. Int J Health Sci (Qassim) 2023; 7(S1): 3471–87.
- Riaz I Bin, Harmon S, Chen Z, Naqvi SAA, Cheng L. Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes. American Society of Clinical Oncology Educational Book 2024; 44(3): e438516.
- Padhani AR, Papanikolaou N. AI and human interactions in prostate cancer diagnosis using MRI. Eur Radiol 2025.
- Arita Y, Roest C, Kwee TC, Paudyal R, Lema-Dopico A, Fransen S, et al. Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment. Asian J Urol 2025.
- AI Act. Available at https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai. Accessed on 19/05/2025.
- European Commission. White Paper on Artificial Intelligence: A European Approach to Excellence and Trust. Brussels; 2020.
- Searle JR. Minds, brains, and programs. Behavioral and Brain Sciences 1980; 3(3): 417–24.
- Matarić MJ, Eriksson J, Feil-Seifer DJ, Winstein CJ. Socially assistive robotics for post-stroke rehabilitation. J Neuro- eng Rehabil 2007; 4: 5.
- Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J 2019; 6(2): 94–8.
- Harihara Subramanian G, Verma A. Crowd risk prediction in a spiritually motivated crowd. Saf Sci 2022; 155: 105877.
- Sasseville M, Ouellet S, Rhéaume C, Couture V, Després P, Paquette JS, et al. Risk of Bias Mitigation for Vulnerable and Diverse Groups in Community-Based Primary Health Care Artificial Intelligence Models: Protocol for a Rapid Review. JMIR Res Protoc. 2023; 12: e46684.
- Koçak B, Ponsiglione A, Stanzione A, Bluethgen C, Santinha J, Ugga L, et al. Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects. Diagn Interv Radiol 2025; 31(2): 75-88.
- Friedman B, Hendry DG. Value Sensitive Design. The MIT Press; 2019.
- MOOR JH. What is computer ethics?. Metaphilosophy. 1985; 16(4): 266–75.
- van Wynsberghe A. Service robots, care ethics, and design. Ethics Inf Technol 2016; 18(4): 311–21.
- Nussbaum MC. Creating Capabilities. Harvard University Press; 2013.
- Ahmad A, Liew AXW, Venturini F, Kalogeras A, Candiani A, Di Benedetto G, et al. AI can empower agriculture for global food security: challenges and prospects in developing nations. Front Artif Intell 2024; 7.
- Viswanathan VS, Parmar V, Madabhushi A. Towards equitable AI in oncology. Nat Rev Clin Oncol 2024; 21(8): 628–37.
- Hannaway J, Richardson JG. Puzzles, Facts, and Tensions: Inquiry in the Sociology of Education. Educational Researcher 1987; 16(6): 43.
- Robertson T, Simonsen J. Challenges and Opportunities in Contemporary Participatory Design. Design Issues 2012; 28(3): 3–9.
- AI Risk Management Framework | NIST. Available at https://www.nist.gov/itl/ai-risk-management-framework.
- Sabuncu MR, Wang AQ, Nguyen M. Ethical Use of Artificial Intelligence in Medical Diagnostics Demands a Focus on Accuracy, Not Fairness. NEJM AI 2025; 2(1).
- Binkley CE, Reynolds JM, Shuman AG. Health AI poses distinct harms and potential benefits for disabled people. Nat Med 2025; 31(1): 12–3.
- Amani B. AI and Equality by Design. Artificial Intelligence and the Law in Canada 2021.
- Whittaker M, Crawford K, Dobbe R, Fried G, Kaziunas E, Mathur V. AI Now Report 2018.
- Delacroix S, Lawrence ND. Bottom-up data Trusts: disturbing the ‘one size fits all’ approach to data governance. Int Data Priv Law 2019.
- Jobin A, Ienca M, Vayena E. The global landscape of AI ethics guidelines. Nat Mach Intell 2019; 1(9): 389–99.
- Himmelreich J, Lim D. Artificial Intelligence and Structural Injustice: Foundations for Equity, Values, and Responsibility 2022.
- Floridi L. The Ethics of Information . Oxford : Oxford University Press; 2013.
- Floridi L. Distributed morality in an information society. Sci Eng Ethics. 2013; 19(3): 727–43.