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The hidden costs of artificial intelligencefrom natural resources and labor to privacy, equality, and freedom This study argues that [artificial intelligence] is neither artificial nor particula...

Almost all sectors of the economy have been reimagined through computation, automation, and AI. Meanwhile, law today is largely the same as it was decades ago. How can law embrace technology to become more efficient and accessible? AI, Big problems, Law

Computer Science for Lawyers Harvard Law School Register at https://hls.harvard.edu/executive-education/programs/online-programs/computer-science-for-lawyers/. Request custom programs at https://hls.harvard.edu/executive-education/programs/custom-programs/. Doug Lloyd, J.D. lloyd@cs50.harvard.edu David J. Malan, Ph.D. malan@harvard.edu Slides https://docs.google.com/presentation/d/1TWecHP6J3rlJQerpIFaJSPXyzokju4EizvTnrVVexO8/edit?usp=sharing ChatGPT-Generated Summary In this talk titled "Understanding Impacts of AI on the Legal Profession," David Malan and Doug Lloyd from Harvard Law School discuss the fundamentals of AI and its implications for the legal profession, using ChatGPT as an example. The session covers AI techniques, such as reinforcement learning and deep learning, and explores the applications of AI in the legal industry. AI can help with drafting documents, reviewing contracts, and analyzing case law, but lawyers must still verify the work done by these tools. The talk raises questions about the ethics of AI-generated content, copyright law, and accessibility of AI tools across developed, developing, and underdeveloped countries. The speakers emphasize that AI can supplement lawyers' work and assist indigent clients while stressing the importance of transparency in using AI and staying informed about AI developments through various sources.

AI won't kill us all — but that doesn't make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future — so it's inclusive and transparent.