Summary of Human-ai Safety: a Descendant Of Generative Ai and Control Systems Safety, by Andrea Bajcsy and Jaime F. Fisac
Human-AI Safety: A Descendant of Generative AI and Control Systems Safety
by Andrea Bajcsy, Jaime F. Fisac
First submitted to arxiv on: 16 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Systems and Control (eess.SY)
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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 approach to ensuring the safety of advanced artificial intelligence (AI) technologies by considering how humans interact with AI systems over time. The current paradigm for AI safety focuses on fine-tuning models based on human-provided feedback, but this approach neglects the dynamic nature of human-AI interactions. By combining insights from AI safety and control systems safety, the authors identify key challenges and synergies between the two fields. They argue that meaningful safety assurances require reasoning about how humans may respond to AI outputs, driving the interaction towards different outcomes. The paper introduces a formalism for capturing dynamic, safety-critical human-AI interactions and outlines a technical roadmap for next-generation human-centered AI safety. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI is changing the way people interact with technology, but it also raises concerns about harm. Right now, AI safety focuses on making models agree with what humans want. But this approach doesn’t consider how humans respond to AI’s outputs over time. The paper looks at both AI safety and control systems safety and finds that they have more in common than you might think. It argues that we need a new way of thinking about AI safety, one that considers how humans interact with AI over time. The authors propose a new approach and outline steps to make it happen. |
Keywords
» Artificial intelligence » Fine tuning
