Summary of A Theory Of Appropriateness with Applications to Generative Artificial Intelligence, by Joel Z. Leibo et al.
A theory of appropriateness with applications to generative artificial intelligence
by Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz, John P. Agapiou, William A. Cunningham, Peter Sunehag, Julia Haas, Raphael Koster, Edgar A. Duéñez-Guzmán, William S. Isaac, Georgios Piliouras, Stanley M. Bileschi, Iyad Rahwan, Simon Osindero
First submitted to arxiv on: 26 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research paper delves into the concept of “appropriateness” in both human and artificial intelligence (AI) decision-making processes. It explores how humans adapt to different social contexts, determining which actions are appropriate in each situation. The study aims to develop a theory of appropriateness, examining its role in human society, its neural implementation, and its implications for responsible AI deployment. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial intelligence is like us: it needs to know what’s right and wrong to behave properly. Just as we adjust our behavior depending on the situation, AI should also be able to adapt. But how does this work? This study helps us understand how humans decide what’s appropriate in different situations, so we can develop AI that makes better decisions too. |
