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The Gradient: Perspectives on AI
Davidad Dalrymple: Towards Provably Safe AI
Sep 5, 2024
Davidad Dalrymple, Programme Director at ARIA and former AI safety researcher at Oxford, dives into the complexities of artificial intelligence. He discusses the shifting perspectives on AI risk, the significance of calibrated predictions for AGI, and the orthogonality thesis. Davidad emphasizes accountability in AI development, highlighting the need for robust safety frameworks. He also explores the interconnected challenges of cyber-physical systems and the importance of diverse research approaches to navigate potential AGI pitfalls. Tune in for insightful reflections on the future of AI!
01:20:50
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Quick takeaways
- Davidad Dalrymple emphasizes the need for proactive alignment of AI systems with human values to mitigate risks during development.
- The Safeguarded AI Program at ARIA aims to establish safe, robust AI systems through rigorous research and multidisciplinary collaboration.
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Overview of Safeguarded AI Program
The Safeguarded AI Program, directed by Davida Dalrymple at ARIA, aims to pioneer advancements in AI safety through rigorous research and development funding. The program is currently accepting proposal applications until October 2nd, signifying its commitment to ushering in a new epoch in securing artificial intelligence. By focusing on creating safe, robust AI systems tailored for specific tasks, the initiative intends to mitigate risks associated with advanced AI deployment. This structured framework aligns with ARIA's mission to support ambitious research agendas that address critical issues in society.
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