Summary of We Urgently Need Intrinsically Kind Machines, by Joshua T. S. Hewson
We Urgently Need Intrinsically Kind Machines
by Joshua T. S. Hewson
First submitted to arxiv on: 21 Oct 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 The paper proposes a new framework for integrating kindness into artificial intelligence (AI) systems, which are increasingly driven by extrinsic and intrinsic motivations. The authors argue that kindness, defined as altruism motivated to maximize the reward of others, is crucial for ensuring AI models align with human values. To achieve this, they introduce an algorithm that simulates conversations to embed kindness into foundation models. The approach has limitations and potential future research directions for scalable implementation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI systems are getting smarter, combining external and internal motivations. While these frameworks have benefits, they might misalign at the algorithmic level while appearing aligned with human values. To fix this, the paper suggests that an intrinsic motivation for kindness is essential to ensure AI models align with human values. Kindness means helping others without personal gain, which can counteract any self-serving motivations in AI. The authors describe a framework and method to make AI kind by pretending conversations. |
