Moral borders and philosophical consideration of Artificial Intelligence: exploring responsibility, rights and ethical decision making
Description
This study examines moral boundaries, rights, and ethical responsibility in Artificial Intelligence (AI), focusing on ethical decision-making. Using a systematic analysis of scientific sources, legal documents, and real-world AI applications in medicine and justice, the research highlights significant issues of accountability. AI algorithms have shown bias, particularly in legal systems, where recidivism risk assessments disproportionately affect ethnic groups, creating legal uncertainty. Similar biases appear in medical diagnoses, affecting conditions like lung cancer and tuberculosis. The study confirms that AI lacks consciousness and free will, meaning responsibility must remain with developers or users. While legal frameworks regulate AI ethics, they do not fully address independent decision-making. The findings emphasize the need for improved transparency and accountability in AI regulation.
Files
ARTÍCULO 21_Zhang.pdf
Files
(1.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:61df0fd1a85f727f790c1a28156eb2c4
|
1.9 MB | Preview Download |
Additional details
References
- AI Principles. (2019). https://www.oecd.org/en/topics/sub-issues/ai-principles.html
- Alahmad, A. K. (2025). Criminal Liability for Cyberbullying in Jordanian Legislation. Review of Law and Social Sciences, 3 (1), 99-111. https://doi.org/10.71261/rlss/3.1.99.11
- Altynbekova, Z., Bostanov, B., Kenesbayev, S., Ongarbayeva, M., & Sadirmekova, Z. (2024). Methodology of teaching future computer science teachers to create and use open educational resources. Scientific Herald of Uzhhorod University. Series Physics, (55), 2337-2347. https://doi.org/10.54919/physics/55.2024.233cu7
- Apakhayev, N., Adilova, K., Bugybay, D., Mukaldyeva, G., Mukhamadiyeva, G.N., & Koshpenbetov, B.M. (2017). Childhood legal protection in Kazakhstan. Journal of Advanced Research in Law and Economics, 8 (3), 714-721. https://doi.org/10.14505/jarle.v8.3(25).03
- Apakhayev, N., Adilova, K., Bugybay, D., Toktybaev, A., & Kopbayev, D. (2024). The problem of protecting the rights and legitimate interests of the child in the family and outside it. Danube, 15 (3), 221-236. https://doi.org/10.2478/danb-2024-0013
- Artificial Intelligence Act. (2024). https://www.europarl.europa.eu/RegData/etudes/BRIE/2021/698792/EPRS_BRI(2021)698792_EN.pdf
- Ayling, J., & Chapman, A. (2021). Putting AI Ethics to Work: are the Tools Fit for Purpose? AI and Ethics, 2 (03), 405-429. https://doi.org/10.1007/s43681-021-00084-x
- Blok, V. (2023). The Ontology of Technology Beyond Anthropocentrism and Determinism: The Role of Technologies in the Constitution of the (Post) Anthropocene World. Foundations of Science, 28 (03), 987-1005. https://doi.org/10.1007/s10699-022-09829-1
- Braun, M., Hummel, P., Beck, S., & Dabrock, P. (2021). Primer on an Ethics of AI-based Decision Support Systems in the Clinic. Journal of Medical Ethics, 47 (12), e3. https://doi.org/10.1136/medethics-2019-105860
- Campolo, A., & Crawford, K. (2020). Enchanted Determinism: Power without Responsibility in Artificial Intelligence. Engaging Science Technology and Society, 6, 1-19. https://doi.org/10.17351/ests2020.277
- Carrillo, M.R. (2020). Artificial Intelligence: From Ethics to Law. Telecommunications Policy, 44 (06), 101937. https://doi.org/10.1016/j.telpol.2020.101937
- Castillo, D., Canhoto, A.I., & Said, E. (2021). The Dark Side of AI-Powered Service Interactions: Exploring the Process of Co-Destruction from the Customer Perspective. Service Industries Journal, 41 (13-14), 900-925. https://doi.org/10.1080/02642069.2020.1787993
- Coeckelbergh, M. (2019). Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability. Science and Engineering Ethics, 26 (04), 2051-2068. https://doi.org/10.1007/s11948-019-00146-8
- Constantinescu, M., Vică, C., Uszkai, R., & Voinea, C. (2022). Blame it on the AI? On the Moral Responsibility of Artificial Moral Advisors. Philosophy & Technology, 35, 35. http://dx.doi.org/10.1007/s13347-022-00529-z
- Daneshjou, R., Smith, M.P., Sun, M.D., Rotemberg, V., & Zou, J. (2021). Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review. JAMA Dermatology, 157 (11), 1362-1369. https://doi.org/10.1001/jamadermatol.2021.3129
- Ernst, E., Merola, R., & Samaan, D. (2019). Economics of Artificial Intelligence: Implications for the Future of Work. IZA Journal of Labor Policy, 9 (01), 4. https://doi.org/10.2478/izajolp-2019-0004
- Ethics guidelines for trustworthy AI. (2019). https://ec.europa.eu/futurium/en/ai-alliance-consultation.1.html
- Floridi, L. (2021). The European Legislation on AI: A Brief Analysis of its Philosophical Approach. Philosophy & Technology, 34 (02), 215-222. https://doi.org/10.1007/s13347-021-00460-9
- Fraune, M.R., Komatsu, T., Preusse, H.R., Langlois, D.K., Au, R.H., Ling, K., Suda, S., Nakamura, K., & Tsui, K.M. (2022). Socially Facilitative Robots for Older Adults to Alleviate Social Isolation: A Participatory Design Workshop Approach in the US and Japan. Frontiers in Psychology, 13, 904019. https://doi.org/10.3389/fpsyg.2022.904019
- General Data Protection Regulation (GDPR). (2018). https://www.consilium.europa.eu/en/policies/data-protection/data-protection-regulation/
- Giubilini, A., & Savulescu, J. (2018). The Artificial Moral Advisor. The "Ideal Observer" Meets Artificial Intelligence. Philosophy & Technology, 31 (02), 169-188. https://doi.org/10.1007/s13347-017-0285-z
- Hagendorff, T. (2020). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30 (01), 99-120. https://doi.org/10.1007/s11023-020-09517-8
- Hinds, J., Williams, E.J., & Joinson, A.N. (2020). "It wouldn't Happen to Me": Privacy Concerns and Perspectives Following the Cambridge Analytica Scandal. International Journal of Human-Computer Studies, 143, 102498. https://doi.org/10.1016/j.ijhcs.2020.102498
- Iklassova, K., Aitymova, A., Kopnova, O., Shaporeva, A., Abildinova, G., Nurbekova, Z., Almagambetova, L., Gorokhov, A., & Aitymov, Z. (2024). Ontology modeling for automation of questionnaire data processing. Eastern-European Journal of Enterprise Technologies, 5 (2-131), 36-52. https://doi.org/10.15587/1729-4061.2024.314129
- Kenesbayev, S.M., Oralbekova, A.K., Sartayeva, N.T., & Zhailauova, M.K. (2017). Programme and summary of research work on ICT competence development for future elementary school teachers in the conditions of inclusive education. Espacios, 38 (25), 10. https://www.revistaespacios.com/a17v38n25/17382510.html
- Kerimkhulle, S., Dildebayeva, Z., Tokhmetov, A., Amirova, A., Tussupov, J., Makhazhanova, U., Adalbek, A., Taberkhan, R., Zakirova, A., & Salykbayeva, A. (2023). Fuzzy Logic and Its Application in the Assessment of Information Security Risk of Industrial Internet of Things. Symmetry, 15 (10), 1958. https://doi.org/10.3390/sym15101958
- Khoda, V., Leshchuk, N., Topalov, A., Robotko, S., Klymenko, O., & Nekrasov, S. (2024). Computerized Lathe Control System based on Internet of Things Technology. In Proceedings - International Conference on Advanced Computer Information Technologies, ACIT (pp. 674-677). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ACIT62333.2024.10712548
- Kolbayev, N., Tuyenbayeva, K., Seitimbetova, D., & Apakhayev, N. (2024). Methods of Modelling Electronic Academic Libraries: Technological Concept of Electronic Libraries. Preservation, Digital Technology and Culture, 53 (2), 81-90. https://doi.org/10.1515/pdtc-2024-0001
- Kullolli, B. (2024). Hacker Attacks on Electronic Election and Vote Counting Systems: Estimation of Damages and Methods of Protection. Pakistan Journal of Criminology, 16 (3), 31-44. https://doi.org/10.62271/pjc.16.3.31.44
- Kurmangali, M., Yeraliyeva, Y., & Beimisheva, A. (2023). Digitalization and Artificial Intelligence in Central Asia: Governmental Responses and Further Implications. Public Policy and Administration, 23 (02), 146-159. https://doi.org/10.13165/VPA-24-23-2-03
- Larson, J., Mattu, S., Kirchner L., & Angwin, J. (2016). How We Analyzed the COMPAS Recidivism Algorithm. ProPublica. https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm
- Mandl, S., Kobert, M., Bretschneider, M., Asbrock, F., Meyer, B., Strobel, A., & Süße, T. (2023). Exploring Key Categories of Social Perception and Moral Responsibility of AI-Based Agents at Work: Findings from a Case Study in an Industrial Setting. In A. Schmidt, K. Väänänen, Tesh Goyal, P.O. Kristensson, A. Peters (Eds.), CHI'23: CHI Conference on Human Factors in Computing Systems (pp. 1-6). Association for Computing Machinery. https://doi.org/10.1145/3544549.3585906
- McKay, C. (2019). Predicting Risk in Criminal Procedure: Actuarial Tools, Algorithms, AI and Judicial Decision-Making. Current Issues in Criminal Justice, 32 (01), 22-39. https://doi.org/10.1080/10345329.2019.1658694
- Melnyk, V.P., & Lushch-Purii, U.I. (2022). Revising Anthropocentrism of Technics in the Light of the 21st Century New Anthropological Models. Anthropological Measurements of Philosophical Research, 21, 72-83. https://doi.org/10.15802/ampr.v0i21.260334
- Miernicki, M., & Ng, I. (2021). Artificial Intelligence and Moral Rights. AI & Society, 36 (01), 319-329. https://doi.org/10.1007/s00146-020-01027-6
- Munn, L. (2023). The Uselessness of AI Ethics. AI Ethics, 3, 869-877. https://doi.org/10.1007/s43681-022-00209-w
- Naik, N., Hameed, B.Z., Shetty, D.K., Swain, D., Shah, M., Paul, R., Aggarwal, K., Ibrahim, S., Patil, V., Smriti, K., Shetty, S., Rai, B.P., Chlosta, P., & Somani, B.K. (2022). Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? Frontiers in Surgery, 9, 862322. https://doi.org/10.3389/fsurg.2022.862322
- Nassar, A., & Kamal, M. (2021). Ethical Dilemmas in AI-Powered Decision-Making: A Deep Dive into Big Data-Driven Ethical Considerations. International Journal of Responsible Artificial Intelligence, 11 (08), 1-11.
- Neri, E., Coppola, F., Miele, V., Bibbolino, C., Grassi, R. 2020. Artificial Intelligence: Who is Responsible for the Diagnosis? La Radiologia Medica, 125 (06), 517-521. https://doi.org/10.1007/s11547-020-01135-9
- Osasona, F., Amoo, O.O., Atadoga, A., Abrahams, T.O., Farayola, O.A., & Ayinla, B.S. (2024). Reviewing the Ethical Implications of AI in Decision Making Processes. International Journal of Management & Entrepreneurship Research, 6 (02), 322-335. https://doi.org/10.51594/ijmer.v6i2.773
- Palko, D., Babenko, T., Bigdan, A., Kiktev, N., Hutsol, T., Kuboń, M., Hnatiienko, H., Tabor, S., Gorbovy, O., & Borusiewicz, A. (2023). Cyber Security Risk Modeling in Distributed Information Systems. Applied Sciences (Switzerland), 13 (4), 2393. https://doi.org/10.3390/app13042393
- Recommendation on the Ethics of Artificial Intelligence. (2022). https://www.unesco.org/en/artificial-intelligence/recommendation-ethics
- Rexhepi, F.G., Breznica, R.K., & Rexhepi, B.R. (2024). Evaluating the Effectiveness of Using Digital Technologies in Music Education. Journal of Educational Technology Development and Exchange, 17 (1), 273-289. https://doi.org/10.18785/jetde.1701.16
- Rodrigues, R. (2020). Legal and Human Rights Issues of AI: Gaps, Challenges and Vulnerabilities. Journal of Responsible Technology, 4, 100005. https://doi.org/10.1016/j.jrt.2020.100005
- Shaituro, O., Holodnyk, Y., Pevko, S., & Khan, O. (2025). Legal awareness as a factor in preventing illegal (deviant) behavior. Dialogues in Humanities and Social Sciences, 3 (1), 09-16. https://doi.org/10.71261/dhss/3.1.9.16
- Tai, M.C. (2020). The Impact of Artificial Intelligence on Human Society and Bioethics. Tzu Chi Medical Journal, 32 (04), 339-343. https://doi.org/10.4103%2Ftcmj.tcmj_71_20
- Titova, O., Luzan, P., Sosnytska, N., Kulieshov, S., & Suprun, O. (2021). Information and Communication Technology Tools for Enhancing Engineering Students' Creativity. In V. Ivanov, J. Trojanowska, I. Pavlenko, J. Zajac, D. Peraković (Eds.), Lecture Notes in Mechanical Engineering (pp. 332-340). Springer. https://doi.org/10.1007/978-3-030-77719-7_33
- Tkachenko, O., Chernykh, M., Kuznetcov, I., Karpovich, V., & Jatkiewicz, P. (2024). An impact of web animation on user perception and engagement. Journal of the Balkan Tribological Association, 30 (5), 875-897.
- Tkachenko, O., Goncharov, V., & Jatkiewicz, P. (2024). Enhancing Front-End Security: Protecting User Data and Privacy in Web Applications. Computer Animation and Virtual Worlds, 35 (6), e70003. https://doi.org/10.1002/cav.70003
- Tschang, F.T., & Almirall, E. (2021). Artificial Intelligence as Augmenting Automation: Implications for Employment. Academy of Management Perspectives, 35 (04), 642-659. https://doi.org/10.5465/amp.2019.0062
- Véliz, C. (2021). Moral Zombies: Why Algorithms are not Moral Agents. AI & society, 36 (02), 487-497. https://doi.org/10.1007/s00146-021-01189-x
- Venugopal, V.K., Gupta, A., Takhar, R., Liew, C.J., Jones, C., & Szarf, G. (2023). Navigating Fairness in Radiology AI: Concepts, Consequences, and Crucial Considerations. https://doi.org/10.48550/arXiv.2306.01333
- Vilks, A., & Kipāne, A. (2018). Cognitive aspects of criminal justice policy. Journal of Advanced Research in Law and Economics, 9 (5), 1798-1805. https://doi.org/10.14505//jarle.v9.5(35).35
- Xhafka, E., Sinoimeri, D., & Teta, J. (2024). Evaluating the Impact of E-Governance on Public Service Improvement in Albania: A Quantitative Analysis. Sustainability (Switzerland), 16 (24), 10896. https://doi.org/10.3390/su162410896
- Yang, W., Wei, Y., Wei, H., Chen, Y., Huang, G., Li, X., Li, R., Yao, N., Wang, X., Gu, X., Amin, M.B., & Kang, B. (2023). Survey on Explainable AI: From Approaches, Limitations and Applications Aspects. Human-Centric Intelligent Systems, 3 (03), 161-188. https://doi.org/10.1007/s44230-023-00038-y
- Yermolenko, R., Klekots, D., & Gogota, O. (2024). Development of an algorithm for detecting commercial unmanned aerial vehicles using machine learning methods. Machinery and Energetics, 15 (2), 33-45. https://doi.org/10.31548/machinery/2.2024.33
- Younas, A., & Zeng, Y. (2024). Proposing Central Asian AI Ethics Principles: A Multilevel Approach for Responsible AI. AI and Ethics. https://doi.org/10.1007/s43681-024-00505-7
- Zaitseva, N.V., Symonenko, S.V., Titova, O.A., Osadchyi, V.V., & Osadcha, K.P. (2023). Fostering communication and collaboration skills for computer science students by means of ICT tools. CEUR Workshop Proceedings, 3553, 43-56. https://ceur-ws.org/Vol-3553/paper9.pdf