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AI Safety Fundamentals: Governance
AI Governance Needs Technical Work
May 13, 2023
The podcast explores the importance of technical interventions in AI governance, such as hardware engineering and machine learning development. It discusses the role of information security in AI regulation and the development of technical standards. The chapters cover topics like machine learning applications, enhancing governance through information security, and paths to contribute to AI governance.
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Quick takeaways
- Technical work in AI governance involves developing engineering solutions to boost AI governance interventions' effectiveness.
- Different engineering disciplines, such as hardware and software engineering, play vital roles in enhancing AI governance and ensuring regulation compliance.
Deep dives
Technical Work in AI Governance: Boosting Interventions
Technical work in AI governance focuses on improving AI governance interventions' success by developing knowledge for decision-makers, enhancing promising interventions rather than just supporting existing ones. It involves various engineering disciplines like hardware, software, and machine learning to ensure effective coordination and regulation of AI activities.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode