Summary of Problems in Ai, Their Roots in Philosophy, and Implications For Science and Society, by Max Velthoven et al.
Problems in AI, their roots in philosophy, and implications for science and society
by Max Velthoven, Eric Marcus
First submitted to arxiv on: 22 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Emerging Technologies (cs.ET); Human-Computer Interaction (cs.HC)
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| 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 paper highlights the need for increased attention to the philosophical aspects of AI technology, arguing that current misconceptions about knowledge growth are combined with a deficit in philosophical understanding. The authors draw parallels between current AI operation and flawed theories such as inductivism, empiricism, and instrumentalism, which are reminiscent of Karl Popper’s and David Deutsch’s critiques. The paper suggests that these theories, including Bayesianism, are rooted in mistaken philosophies of knowledge and explores the implications for AI use in science and society. It also provides a realistic outlook on Artificial General Intelligence (AGI) and offers three propositions on AGI and philosophy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how we think about artificial intelligence (AI). The authors want us to pay more attention to the ideas behind AI, because they think some people have wrong assumptions about how knowledge grows. They compare these ideas to what two important thinkers, Karl Popper and David Deutsch, said about knowledge. They argue that these ideas are similar to how AI works today, and that’s not good. The paper also talks about what this means for using AI in science and society, and gives a realistic view of something called Artificial General Intelligence (AGI). It ends with three important points about AGI and thinking. |
Keywords
» Artificial intelligence » Attention
