# Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

Page: https://stenobird.com/podcast/machine-learning-street-talk/sara-hooker-why-us-ai-act-compute-thresholds-are-misguided
Text version: https://stenobird.com/podcast/machine-learning-street-talk/sara-hooker-why-us-ai-act-compute-thresholds-are-misguided.md
Podcast: [Machine Learning Street Talk (MLST)](https://stenobird.com/podcast/machine-learning-street-talk)
Published: 2024-07-18T22:51:28+00:00
Episode link: https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Sara-Hooker---Why-US-AI-Act-Compute-Thresholds-Are-Misguided-e2m6qm4
Audio file: https://anchor.fm/s/1e4a0eac/podcast/play/89401476/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2024-6-18%2F91087ab7-05de-3101-b203-620838e6e030.mp3
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JSON: https://stenobird.com/v1/public/podcasts/machine-learning-street-talk/episodes/sara-hooker-why-us-ai-act-compute-thresholds-are-misguided
Duration seconds: 3941

## Resource

Sara Hooker is VP of Research at Cohere and leader of Cohere for AI. We discuss her recent paper critiquing the use of compute thresholds, measured in FLOPs (floating point operations), as an AI governance strategy. We explore why this approach, recently adopted in both US and EU AI policies, may be problematic and oversimplified. Sara explains the limitations of using raw computational power as a measure of AI capability or risk, and discusses the complex relationship between compute, data, and model architecture. Equally important, we go into Sara's work on "The AI Language Gap." This research highlights the challenges and inequalities in developing AI systems that work across multiple languages. Sara discusses how current AI models, predominantly trained on English and a handful of high-resource languages, fail to serve the linguistic diversity of our global population. We explore the technical, ethical, and societal implications of this gap, and discuss potential solutions for creating more inclusive and representative AI systems. We broadly discuss the relationship between language, culture, and AI capabilities, as well as the ethical considerations in AI development and deployment. YT Version: https://youtu.be/dBZp47999Ko TOC: [00:00:00] Intro [00:02:12] FLOPS paper [00:26:42] Hardware lottery [00:30:22] The Language gap [00:33:25] Safety [00:38:31] Emergent [00:41:23] Creativity [00:43:40] Long tail [00:44:26] LLMs and society [00:45:36] Model bias [00:48:51] Language and capabilities [00:52:27] Ethical frameworks and RLHF Sara Hooker https://www.sarahooker.me/ https://www.linkedin.com/in/sararosehooker/ https://scholar.google.com/citations?user=2xy6h3sAAAAJ&hl=en https://x.com/sarahookr Interviewer: Tim Scarfe Refs The AI Language gap https://cohe…

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