(in Polish) Philosophical Objections to Artificial Intelligence FIL-ENG-SM>mono24Z-2
The aim of the lecture is to present critical philosophical perspectives on foundational concepts of AI systems. The lecture focuses on the philosophical objections of AI. The lecture has two parts. The first part of the lecture aims at creating the context for the second part. The first part will review the main concepts of AI such as machine learning, deep learning, LLM systems, Generative AI, complex systems, beneficial AI and Ethical AI, agent and multiple agent systems and decision theory. This part will be based on the book by Dan Hendricks “Introduction to AI Safety, Ethics, and Society”, published in 2024 online and freely available.
The second part, the main part of the lecture will critically discuss philosophical arguments behind Gödel’s and Turing foundational concept of AI, the problems of artificial minds and intelligence, the problems of embodied AI and ethical AI agents, the problems of artificial consciousness and the problems of meaning in AI. This part of the lecture will be based on the book by Dietrich E. C., Fields, J. Sullins, B. von Heuveln, and R. Zebrowski. 2023. Great philosophical objections to Artificial Intelligence. London: Bloomsbury Academic.
Course coordinators
Learning outcomes
A student will gain an understanding of the fundamental technical and philosophical concepts of AI systems.
A student will be able to discuss controversies surrounding Artificial Intelligence systems and AI paradigms.
A student will be prepared to better understand relationship between AI and philosophy of science, philosophy of mind, and foundations of synthetic thinking systems.
Assessment criteria
• (W_1) grading on the bases on two abstracts, 300 words each on the topic of the lecture (mid-term and end of term)
• Presentation on a selected topic of the second part of the lecture (15 slides/10 min)
• Take-home exam after the first part of the lecture – 10- short-answer questions
• Penalty for the late work – 15% of the grade
• Student's activity during the class as well the discussion of the paper may raise one's grade.
• Attendance is mandatory.
Practical placement
N/A
Bibliography
Dan Hendricks. 2024. “Introduction to AI Safety, Ethics, and Society. Available at https://www.aisafetybook.com/.
Dietrich E. C., Fields, J. Sullins, B. von Heuveln, and R. Zebrowski. 2023. Great philosophical objections to Artificial Intelligence. London: Blumsbury Academic.
Additional background reading and online lectures for Erasmus students:
Aleksander, I. 2022. "From Turing to Conscious Machines" Philosophies 7, no. 3: 57. https://doi.org/10.3390/philosophies7030057.
LeCun, Y. 2024. Meta's Chief AI Scientist Yann LeCun talks about the future of artificial intelligence. https://www.youtube.com/watch?v=Ah6nR8YAYF4.
Maslej, N. Loredana Fattorini, Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy,Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, and Jack Clark, 2024. “The AI Index 2024 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2024.
Mitchel M. 2024. Future of Artificial Intelligence. https://www.youtube.com/watch?v=HAiXT1mGTXc.
Mitchell, M. 2019. Artificial Intelligence. A Guide for thinking Humans. London. Penguin.
Müller, V.2023. Philosophy of AI: A Structured Overview. Nathalie A. Smuha (ed.), Cambridge handbook on the law, ethics and policy of Artificial Intelligence (pp.1-25)Publisher: Cambridge University Press
Nagel, E. and J. Newman. 2005. Gödel’s Proof. London: Routledge.
Russell, Stuart J.; Norvig, Peter (2021). Artificial intelligence: A modern approach (4th ed.). Pearson. pp. 5, 1003. ISBN 9780134610993.
Russell, S. 2019. Human Compatible: Artificial Intelligence and the Problem of Control. Viking.
Searle, J. 1980. Minds, Brains and Programs. Behavioral Brain Sci.3:417–457
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: