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Tim Hwang

Former global public policy lead for A.I. and machine learning at Google and author of 'Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet'

Top 3 podcasts with Tim Hwang

Ranked by the Snipd community
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Nov 8, 2022 • 47min

Export controls for AI: Will they work?

Do export controls work? And will they work for AI? Meet Emily Weinstein and Tim Hwang. They're research fellows at Georgetown's Center for Security and Emerging Technology (CSET) and have written a paper on the goals of export controls and whether what the US government is trying to achieve with them is clear.We discuss Did the US inadvertently help China make better missiles? How export controls have hurt some US industries' international competitiveness. What export controls can - and can't - do to prevent technology from being developed abroad. Important questions about the management of bowling alleys and churches. Here's the paper we discussed: https://cset.georgetown.edu/publication/decoupling-in-strategic-technologies/Annotated bibliography: https://cset.georgetown.edu/publication/from-cold-war-sanctions-to-weaponized-interdependence/Trade Journal Collective: https://www.tradejournalcooperative.com/I have a newsletter which you should all sign up to read!Outro music: Noodles and Butter https://www.youtube.com/watch?v=zlP-J5rssa0Episode cover art made using Midjourney. Learn more about your ad choices. Visit megaphone.fm/adchoices
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Apr 25, 2018 • 46min

#72 - Miles Brundage and Tim Hwang

Miles Brundage and Tim Hwang discuss the intersection of AI and cryptocurrency, risks of emerging technologies, contrasting policy approaches, interdisciplinary research at FHI, short-term vs long-term AI concerns, and predictions for superhuman gaming and meta learning.
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Jun 16, 2017 • 39min

#11 - At The Intersection of AI, Governments, and Google - Tim Hwang

Tim Hwang, Global Public Policy Lead on AI and Machine Learning for Google, discusses topics such as developing AI systems, privacy, bias in machine learning, adversarial data, the potential of machine learning APIs, preparing for a shift in AI, impact on the economy, and advancements in machine learning and art.