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takeaways from day 1 of this AI law class: 1. sooo good to look at AI issues in a focused, informed law/policy way—addressing the very specific impacts of AI on existing legal/economic frameworks 2. we rly need to agree on a definition of “algorithm” or we’re all gonna go nuts
discussing google pagerank vs ML i called PR “just an algorithm” and the (technical) prof was like “yes but ML is also an algorithm” which totally misses how ML involves 2 “algorithms”: learning algorithm (understandable) and output model (not). this should be made clearer
law review articles on AI are so fun to read vs. news pieces bc lawyers don’t care about morals lmao journalist: how can we design AI systems ethically? lawyer: fuck ethics, how can we get profit-maximizing firms to design AI systems to minimize legal & financial liability?
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