References
- Beam, A. L., Drazen, J. M., Kohane, I. S., Leong, T. Y., Manrai, A. K., Rubin, E. J. (2023). Artificial intelligence in medicine. New England J. Med., 388 (13), 1220–1221.
- Binz, M., Schulz, E. (2023). Using cognitive psychology to understand GPT-3. Proc. Nat. Acad. Sci., 120 (6), e2218523120.
- Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Harari, Y. N., Zhang, Y. Q., Xue, L., Shalev-Schwartz, S., Hadfield, G., et al. (2023). Managing AI risks in an era of rapid progress. Science, 384 (6698), 842–845. DOI: 10.1126/science.adn0.
- Chemero, A. (2023). LLMs differ from human cognition because they are not embodied. Nat. Hum. Behav., 7 (11), 1828–1829.
- Donald, M. (1993). Précis of origins of the modern mind: Three stages in the evolution of culture and cognition. Behav. Brain Sci., 16 (4), 737–748.
- Goldberg, C. B., Adams, L., Blumenthal, D., Brennan, P. F., Brown, N., Butte, A. J., Cheatam, M., deBronkart, D., Dixon, J., Drazen, J., et al. (2024). To do no harm — and the most good — with AI in health care. NEJM AI, 1 (3), AIp2400036.
- Hamzelou, J. (2023). Artificial Intelligence is infiltrating health care. We shouldn’t let it make all decisions. MIT Technol. Rev., April 21
- Lenharo, M. (2023). An AI revolution is brewing in medicine. What will it look like? Nature, 622, 686–688.
- Longoni, C., Bonezzi, A., Morewedge, C. K. (2019). Resistance to medical artificial intelligence. J. Consumer Res., 46 (4), 629–650.
- Marcus, G. (2023). Hoping for the best as AI evolves. Communi. ACM, 66 (4), 6–7.
- Messeri, L., Crockett, M. J. (2024). Artificial intelligence and illusions of understanding in scientific research. Nature, 627 (8002), 49–58.
- Naddaf, M. (2023) ChatGPT generates fake data set to support scientific hypothesis. Nature, 623 (7989), 895-896. DOI: https://doi.org/10.1038/d41586-023-03635-w.
- Pezzulo, G., Parr, T., Cisek, P., Clark, A., Friston, K. (2024). Generating meaning: Active inference and the scope and limits of passive AI. Trends Cognit. Sci., 28 (2), 97–112. DOI: https://doi.org/10.1016/j.tics.2023.10.002.
- Rajpurkar, P., Chen, E., Banerjee, O., Topol, E. J. (2022). AI in health and medicine. Nature Med., 28 (1), 31–38.
- Meskó, B., Topol, E. J. (2023). The imperative for regulatory oversight of large language models (or generative AI) in healthcare. npj Digital Medicine, 6 (1), 120.
- Taylor, K. (2009). Paternalism, participation and partnership — the evolution of patient centeredness in the consultation. Patient Educ. Counsel., 74 (2), 150–155.
- Veatch, R. M. (2000). Doctor does not know best: Why in the new century physicians must stop trying to benefit patients. J. Med. Philos., 25 (6), 701–721.
- WHO (2023). WHO Outlines Considerations for Regulation of Artificial Intelligence for Health. https://www.who.int/news/item/19-10-2023-who-outlines-considerations-for-regulation-of-artificial-intelligence-for-health (accessed 11.08.2024).