There were fears of total wipeout of humanity around DNA editing, nanotech, and the LHC too. AI is not unique in having such large potential impacts. I think it's helpful to draw on the expertise of those that have navigated these before us.
REGULATION
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Google Whistleblowers Warn About AI Risks Years Before Public
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I'd also like to see more awareness of all the people that have spoken up about risks for years, some of whom got fired from Google for doing so.
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Global Leaders Warn AI Could Cause Catastrophic Harm
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Global Leaders Warn #AI Could Cause ‘Catastrophic’ Harm https://
nytimes.com/2023/11/01/wor
ld/europe/uk-ai-summit-sunak.html?smid=nytcore-android-share
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Managing Risks in Advanced Technology Transitions
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"Risk management of things that are totally novel" is indeed complex. Thankfully, people have been studying that risk management for years. For instance, here's a call from Professor of Advanced Tech Transitions @2020science
, to learn from this research: https://
andrewmaynard.substack.com/p/navigating-a
dvanced-technology-transitions
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Corporate AI Overreach Requires Thoughtful Regulation
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It's important to understand that the push back against the current corporate over-reach is largely from people who *support* thoughtful regulation of high risk applications and harmful algorithmic decision making. It's not an anti-regulation stance.
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EU AI Act Shifted from Deployment to R&D Regulation
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In fact the EU AI Act up until the very last minute *did* focus entirely on regulating product deployment. But then all the lobbying happened and the act was overhauled to regulate R&D. Back when it focused on high risk applications, instead of R&D, it looked great!
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AI Safety Summit: Commitment to Future AI Safety and Human Welfare
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Posing for posterity at the #AISafetySummit but above all serving humanity and pledging alliance to those who work for the safety of AI to be guaranteed for the future
→ View original post on X — @inma_martinez, 2023-11-01 21:14 UTC
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AI Research Regulation Versus Product Deployment Control
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Regulating product deployment is fine.
In the case of life-critical applications like driving assistance, it's necessary. What we are opposed to is regulating AI research and development.
Particularly with arbitrary limits on computation levels. -
Regulating AI R&D Versus Products: Freedom to Compute Debate
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An excellent piece by my dear NYU colleague @togelius pointing out that regulating AI R&D (as opposed to products) would lead to unacceptable levels of policing and restrictions on the "freedom to compute"