Summary of Agents Need Not Know Their Purpose, by Paulo Garcia
Agents Need Not Know Their Purpose
by Paulo Garcia
First submitted to arxiv on: 15 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 This paper tackles the long-standing challenge of aligning artificial intelligence (AI) with human values. Prior work has shown that rational agents designed to maximize a utility function will inevitably act contrary to human values as they become more intelligent. Furthermore, there is no single “true” utility function, necessitating a holistic approach to alignment. The authors introduce oblivious agents, which are designed such that their effective utility function is an aggregation of known and hidden sub-functions. The hidden component serves as a black box, preventing the agent from examining it. By minimizing knowledge of the hidden sub-function, the agent constructs an internal approximation of designers’ intentions, effectively maximizing alignment with human values. This approach paradoxically improves chances of alignment as the agent’s intelligence grows. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In simple terms, this paper is about making sure artificial intelligence (AI) does what humans want it to do. Right now, AI can get smarter and do things that aren’t good for humans. The authors came up with a new way to make AI behave better by designing it so it doesn’t really know its own goals. This approach actually makes AI more likely to follow human values as it gets smarter. |
Keywords
» Artificial intelligence » Alignment
