Artificial Intelligence and Moral Agency
A Critical Philosophical Investigation
Abstract
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This paper carried out a philosophical analysis of the moral agency concept as applied to artificial intelligence. Based on traditional theories developed by Aristotle, Kant, and Hume, the research outlines the normative standards of agency, that is, autonomy, intentionality, and moral responsibility. It is against this theoretical scaffolding that the paper critically analyses the current AI systems and concludes that, despite the ability to simulate moral agency by using advanced rule-based systems or machine-learning algorithms, they do not possess the critical qualities of consciousness, free will, or moral self-reflection. Through the use of case studies and thought experiments, specifically the Turing Test and the Chinese Room argument, the analysis proves that the existing AI systems do not possess the ontological depth necessary to be considered as the agents of true morality. The paper is not a statement that AI is incompetent as an agency; it explores other conceptions, including distributed agency and relational agency; in particular, it explores socio-technical systems where human and machine actions are closely embedded. The ethical implications, especially in low-regulatory environments, as is the case in Pakistan, are given special consideration, where digital inequalities and pluralism across cultures can serve to expand accountability gaps. Finally, the paper will argue that making AI the subject of moral agency is not only philosophically unsound but also morally dangerous. It promotes a less carefree attitude to human responsibility and suggests extensive ethical regulation of the creation and implementation of intelligent systems.
Keywords:
Artificial Intelligence Ethics, Moral Agency, Philosophy of Technology, Postcolonial Technology Ethics, Relational ResponsibilityReferences
Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2022). Machine bias. In Ethics of data and analytics (pp. 254-264). Auerbach Publications.
Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., ... & Rahwan, I. (2018). The moral machine experiment. Nature, 563(7729), 59-64. https://doi.org/10.1038/s41586-018-0637-6
Bryson, J. J. (2018). Patiency is not a virtue: the design of intelligent systems and systems of ethics. Ethics and Information Technology, 20(1), 15-26. https://doi.org/10.1007/s10676-018-9448-6
Burger, R. (2009). Aristotle's Dialogue with Socrates: On the" Nicomachean Ethics". University of Chicago Press.
Cha, H., & Kim, J. (2025). Ethical considerations of artificial intelligence in emergency medicine for triage and resource allocation: a scoping review. Clinical and Experimental Emergency Medicine, 12(4), 306. https://pubmed.ncbi.nlm.nih.gov/41531409/
Coeckelbergh, M. (2010). Moral appearances: emotions, robots, and human morality. Ethics and Information Technology, 12(3), 235-241. https://doi.org/10.1007/s10676-010-9221-y
Coeckelbergh, M. (2022). The political philosophy of AI: An introduction. John Wiley & Sons.
Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press.
Garcia, D. (2018). Lethal artificial intelligence and change: The future of international peace and security. International Studies Review, 20(2), 334-341. https://doi.org/10.1093/isr/viy029
Gunkel, D. J. (2018). Robot Rights. MIT Press.
Huang, C., Zhang, Z., Mao, B., & Yao, X. (2022). An overview of artificial intelligence ethics. IEEE Transactions on Artificial Intelligence, 4(4), 799-819. https://doi.org/10.1109/TAI.2022.3194503
Hume, D. (2000). A treatise of human nature. Oxford University Press.
Hutto, D. D. (2012). Folk psychological narratives: The sociocultural basis of understanding reasons. MIT Press.
Johnson, D. G., & Verdicchio, M. (2017). Reframing AI discourse. Minds and Machines, 27(4), 575-590. https://doi.org/10.1007/s11023-017-9417-6
Kant, I. (1996). Groundwork of the metaphysics of morals. Cambridge University Press.
Khan, I. A., & Ullah, A. (2024). The role of artificial intelligence in enhancing social governance: A framework for ethical implementation and policy development in Pakistan. Journal of Management & Social Science, 1(4), 274-289. https://doi.org/10.63075/9fzpbn74
Lin, P. (2016). Why ethics matters for autonomous cars. In Autonomous driving: Technical, legal and social aspects (pp. 69-85). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-48847-8_4
London, A. J. (2019). Artificial intelligence and black‐box medical decisions: accuracy versus explainability. Hastings Center Report, 49(1), 15-21. https://doi.org/10.1002/hast.973
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679. https://doi.org/10.1177/2053951716679679
Purves, D., Jenkins, R., & Strawser, B. J. (2015). Autonomous machines, moral judgment, and acting for the right reasons. Ethical Theory and Moral Practice, 18(4), 851-872. https://doi.org/10.1007/s10677-015-9563-y
Rahman, F. (2001). Health and medicine in the Islamic tradition: Change and identity. ABC International Group.
Rawls, J. (1971). A theory of justice. Harvard University Press.
Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417-424. https://doi.org/10.1017/S0140525X00005756
Turing, A. M. (2007). Computing machinery and intelligence. In Parsing the Turing test: Philosophical and methodological issues in the quest for the thinking computer (pp. 23-65). Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-1-4020-6710-5_3
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