O Reading Group sobre Filosofia da Inteligência Artificial tem como objetivo a discussão e análise de textos em tópicos que vão da relação entre a mente e a implementação de procedimentos cognitivos em sistemas de deep learning, às implicações epistémicas, metodológicas e éticas da IA na sua relação com a Ciência. O Reading Group reúne habitualmente às sextas, entre as 11:00h e as 13:00h.
As sessões decorrem na plataforma Zoom, sendo os intervenientes avisados por email, uma semana antes, assim como no dia anterior.
Se desejar participar, por favor envie um email para jpcastro@fc.ul.pt (Paulo Castro).
Sessões
2024
31-05-2024
Dreyfus, H. L., Dreyfus, S. E., 1988, Making a Mind versus Modeling the Brain: Artificial Intelligence Back at a Branchpoint, Daedalus, Vol. 117, No. 1, Artificial Intelligence, pp. 15-43
10-05-2024
Sandberg, A. & Bostrom, N., 2008, The concept of brain emulation in Whole Brain Emulation: A Roadmap. Technical Report #2008‐3, Future of Humanity Institute, University of Oxford)
19-04-2024
Oliveira, A. et al. (2023), Deep Thought: An Architecture for Autonomous Self-motivated Systems, arXiv:2311.08547v1 [cs.AI] 14 Nov 2023
15-03-2024
Shanahan, M. (2024), Simulacra as Conscious Exotica, arXiv preprint arXiv:2402.12422, arxiv.org
02-02-2024
Nyholm, S. (2023), A new control problem? Humanoid robots, artificial intelligence, and the value of control. AI Ethics 3, 1229–1239, https://doi.org/10.1007/s43681-022-00231-y
23-02-2024
Brey, P., Dainow, B. (2023)Ethics by design for artificial intelligence. AI Ethics, https://doi.org/10.1007/s43681-023-00330-4
2023
13-01-2023
Elisabeth Hildt (2022) The Prospects of Artificial Consciousness: Ethical Dimensions and Concerns, AJOB Neuroscience
27-01-2023
Heersmink, R. (2021), Varieties of Artifacts: Embodied, Perceptual, Cognitive, and Affective. Top. Cogn. Sci., 13: 573-596.
24-02-2023
Clowes, R. W., Gärtner, K., & Hipólito, I. (2022). The Mind-Technology Problem. In The Mind-Technology Problem (pp. C1–C2). Springer International Publishing.
10-03-2023
Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. In Minds and Machines (Vol. 30, Issue 4, pp. 681–694). Springer Science and Business Media LLC.
06-04-2023
Kind, A. (2022). Computing Machinery and Sexual Difference. In Feminist Philosophy of Mind (pp. 54-C2.P74). Oxford University PressNew York.
28-04-2023
Shulman, C., Bostrom, N., Sharing the World with Digital Minds, in Clarke, S., Zohny, H. & Savulescu, J. (eds.): Rethinking Moral Status (Oxford University Press, 2021.
19-05-2023
Searle, J. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417-424.
02-06-2023
Buckner, C. Deep learning: A philosophical introduction. Philosophy Compass. 2019; 14:e12625.
30-06-2023
Durán, J.M. What is a Simulation Model?. Minds & Machines 30, 301–323 (2020).
13-10-2023
Chalmers, D. (2022) Could a Large Language Model be Conscious? Invited Talk. NeurIPS Conference in New Orleans on November 28, 2022. Retrieved October 16, 2023, from https://nips.cc/virtual/2022/invited-talk/55867
27-10-2023
Schwitzgebel, E. (2023). AI systems must not confuse users about their sentience or moral status. In Patterns (Vol. 4, Issue 8, p. 100818). Elsevier BV.
17-11-2023
Frontier AI: Capabilities and risks – discussion paper. (n.d.). GOV.UK, retrieved from November 15, 2023, from https://www.gov.uk/government/publications/frontier-ai-capabilities-and-risks-discussion-paper.
01-12-2023
Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1).