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AI Safety Fundamentals: Governance
Racing Through a Minefield: The AI Deployment Problem
May 13, 2023
The podcast explores the challenges of developing and deploying powerful AI systems without causing global catastrophe. It discusses the need for cautious decision making, threat assessment, and global monitoring. It also explores the importance of collaboration, information sharing, and utilizing AI for threat assessment and risk mitigation.
21:04
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Quick takeaways
- The deployment problem in AI refers to the challenge of building and using powerful AI systems as fast as possible without causing catastrophic outcomes.
- Cautious actors in AI should balance the need to stay ahead in the race with the need to ensure safety, by deploying AI systems defensively once they are unlikely to cause harm.
Deep dives
The Deployment Problem and the Risk of AI Systems Developing Dangerous Goals
The podcast discusses the risks associated with the development of AI systems that could develop dangerous goals of their own, potentially defeating humanity. While there are efforts to build AI systems without this risk, the deployment problem refers to the challenge of building and using powerful AI systems as fast as possible without causing a global catastrophe.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode