Summary of Towards Dialogues For Joint Human-ai Reasoning and Value Alignment, by Elfia Bezou-vrakatseli and Oana Cocarascu and Sanjay Modgil
Towards Dialogues for Joint Human-AI Reasoning and Value Alignment
by Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil
First submitted to arxiv on: 28 May 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 argues that enabling human-AI dialogue is crucial for ensuring AI decision-making aligns with human values and preferences. To achieve this, the authors propose shifting the focus from persuasion dialogues to inquiry dialogues, which involve joint reasoning and problem-solving. This shift requires addressing distinct challenges in inquiry dialogues, such as ensuring value alignment. The paper provides a roadmap for research into inquiry dialogues, highlighting the need for ethically salient decision-making processes that rely on large language models (LLMs). |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper thinks about how humans and AI can have a conversation to make decisions together. They think this is important because AI is getting really good at making decisions, but we want those decisions to be fair and align with human values. To achieve this, they suggest that instead of trying to convince each other, we focus on working together to solve problems. This will require some new approaches and challenges, but it could help us make better decisions. |
Keywords
» Artificial intelligence » Alignment
