AI Ethics 3800-AIE25-S-OG
Is artificial intelligence racist? Can the problem of algorithmic discrimination be solved through measurable fairness metrics? Does AI infringe on the copyrights of other creators? Can a chatbot replace a friend? When would shutting down a machine be considered murder?
The aim of this course is to discuss selected ethical challenges associated with the rapid development of artificial intelligence. The discussions will cover both current, pressing social issues related to AI development and fundamental, long-debated philosophical questions in AI ethics.
The course will cover, among others, the following topics:
-What is artificial intelligence? What is necessary for its emergence?
-Short- and long-term risks of artificial intelligence
-Algorithmic discrimination
-The black box problem and the debate over the “efficiency vs. explainability” trade-off
-Value alignment and the problem of control over technology
-Who is responsible for the mistakes of autonomous systems? Accountability gaps
-Generative AI, copyright, and the future of creative work
-The role of ethicists in AI design
-The Ethics by Design approach
-The moral status of artificial intelligence
-Ethical behaviorism
-The Eliza effect and emotional relationships between humans and AI
-AI in warfare – combat robots and autonomous weapons
Classes will be conducted using group work, case studies, and discussions.
Rodzaj przedmiotu
Założenia (opisowo)
Koordynatorzy przedmiotu
Efekty kształcenia
Acquired Knowledge:
Upon completing the course, the student will have in-depth knowledge and understanding of:
the role of ethics and bioethics in the reflection on and research into artificial intelligence,
the interdisciplinary terminology used in discussions on AI ethics and bioethics,
key issues and problems, as well as major philosophical positions, normative approaches, and argumentative strategies found in contemporary debates on the ethics of artificial intelligence,
the significance of socio-cultural, legal, and politico-economic factors for the practice and development of artificial intelligence.
Acquired Skills:
Upon completing the course, the student will be able to:
identify and analyze ethical problems and conflicts related to the development of artificial intelligence,
critically assess the views and arguments of other authors, including fellow participants and the recommended readings related to the seminar topics,
prepare a short written paper on a topic related to the seminar,
prepare and deliver an oral presentation on a topic related to the seminar.
Acquired Social Competences:
Upon completing the course, the student will be ready to:
critically evaluate acquired information and received content,
recognize the importance of ethical knowledge in addressing the challenges posed by artificial intelligence,
engage in the reliable and responsible development of the field of bioethics—particularly AI ethics—as both a theoretical discipline and a form of social practice,
identify ethical problems and challenges related to their own research and professional work, and to uphold, develop, and promote ethical standards in that work.
Kryteria oceniania
(1) Active participation (preparation and constructive engagement in discussions and group tasks during class) along with the delivery of one short presentation based on an additional reading – 60%
(2) Preparation of a written paper (in pairs or groups of three) in the form of a review of a selected book on AI ethics – 40%
Permitted number of excused absences: 2
Literatura
- Kate Crawford (2024), Generative AI is guzzling water and energy, Nature 626, doi: https://doi.org/10.1038/d41586-024-00478-x
- Sætra, H.S., Danaher, J. Resolving the battle of short- vs. long-term AI risks. AI Ethics (2023)
- Nick Bostrom, Eliezer Yudkowsky, 2011, The Ethics of Artificial Intelligence, Cambridge Handbook of Artificial Intelligence, eds. William Ramsey and Keith Frankish, Cambridge University Press
- Baker, R.S., Hawn, A. Algorithmic Bias in Education. International Journal of Artificial Intelligence in Education 32, 1052–1092 (2022). https://doi.org/10.1007/s40593-021-00285-9
- Ruha Benjamin, Race after technology, Polity Press 2019
- London A. J. (2019). Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability. The Hastings Center report, 49(1), 15–21. https://doi.org/10.1002/hast.973
- Kawamleh, S. Against explainability requirements for ethical artificial intelligence in health care. AI Ethics 3, 901–916 (2023). https://doi.org/10.1007/s43681-022-00212-1
- Sven Nyholm, Artificial Intelligence, Value Alignment, and the Control Problem, Rozdział 4 [w:] This is technology ethics. An introduction. Willey Blackwell, 2023, str. 76 – 99.
- Sven Nyholm, Responsibility and Technology: Mind the Gap(s)?, Rozdział 6 [w:] This is technology ethics. An introduction. Willey Blackwell, 2023, str. 127 – 145.
- Santoni de Sio, F., Mecacci, G. Four Responsibility Gaps with Artificial Intelligence: Why they Matter and How to Address them. Philosophy & Technology 34, 1057–1084 (2021). https://doi.org/10.1007/s13347-021-00450-x
- Brey, P., Dainow, B. Ethics by design for artificial intelligence. AI Ethics (2023). https://doi.org/10.1007/s43681-023-00330-4
- Floridi, L. Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical. Philosophy & Technology 32, 185–193 (2019). https://doi.org/10.1007/s13347-019-00354-
- Gibert, M., Martin, D. In search of the moral status of AI: why sentience is a strong argument. AI & Society 37, 319–330 (2022)
- Coeckelbergh M., The Moral Standing of Machines: Towards a Relational and Non-Cartesian Moral Hermeneutics, Philosophy & Technology volume 27, pages61–77 (2014).
- Danaher J. (2020), Welcoming Robots into the Moral Circle: A Defence of Ethical Behaviourism, Science and Engineering Ethics (2020) 26: 2023–2049.
- Coeckelbergh M. (2010), Moral appearances: emotions, robots, and human morality, Ethics and Information Technology 12: 235–241.
- Bryson, J. J. Robots Should Be Slaves. In: Y. Wilks (Ed.), Close Engagements with Artificial Companions: Key Social, Psychological, Ethical and Design Issues, Amsterdam: John Benjamins 2010.
- Sparrow, R., Sparrow, L. (2006). In the hands of machines? The future of aged care. Minds and Machines, 16(2), 141–161.
- Scheutz, M. (2011). “The inherent dangers of unidirectional emotional bonds between humans and social robots,” in: Robot Ethics: The Ethical and Social Implications of Robotics, eds P. Lin, G. Bekey, and K. Abney, Cambridge, MA: MIT Press, pp. 205 – 219.
- Prescott, T. J., & Robillard, J. M. (2020). Are friends electric? The benefits and risks of human-robot relationships. iScience, 24(1), 101993, 1 – 11.
- Weber Guskar E. (2021) How to feel about emotionalized artificial intelligence? When robot pets, holograms, and chatbots become affective partners. Ethics and Information Technology 23: 601–610.
- Weijers D. and Munn N., Human-AI Friendship: Rejecting the Appropriate Sentimentality Criterion, in: “Philosophy and Theory of Artificial Intelligence 2021”, ed. Vincent C. Müller, SAPERE, Springer, pp. 209 - 223.
- Peter Asaro, Autonomous Weapons and the Ethics of Artificial Intelligence [w:] S. Matthew Liao (ed.), Ethics of Artificial Intelligence, Oxford University Press 2020.
- Müller, Vincent C. (2016), Autonomous killer robots are probably good news, In Ezio DiNucci and Filippo Santoni de Sio (eds.), Drones and responsibility: Legal, philosophical and sociotechnical perspectives on the use of remotely controlled weapons (London: Ashgate), 67-81.
The full reading list will be provided during the first class.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: