Congratulations to HAI Assoc Director Dan Ho for being named as a Special Advisor to the ABA Task Force on Law and Artificial Intelligence! The task force, created by @ABAesq
, will examine the legal challenges of the ever-shifting technology.
@stanfordhai
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HAI Director Named Special Advisor to ABA AI Law Task Force
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AI Impact on Jobs: Which Positions Face Most Disruption
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Which jobs are most exposed to changes brought by AI? @DigEconLab director @erikbryn shares insights via @nytimes
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Russell Wald on Global AI Regulation and Transparency Requirements
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In this @IEEESpectrum podcast, HAI’s @russellwald discussed global efforts to regulate AI: “We need to have a diverse set of people at the table to ensure that when these models are put out there, there’s a degree of transparency that we can help review.”
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AP Stylebook adds AI journalism guide for reporters
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As part of her fellowship in 2020, HAI affiliate @garanceburke led the development of a guide to help journalists cover AI and its impacts. It’s now published as a new chapter in the AP Stylebook. Check it out here: https://
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Biometric Payment Systems Raise Privacy Concerns Among Experts
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Some companies are now using biometrics such as palm and facial scans for payments. Experts including HAI fellow @kingjen raise privacy concerns.
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Stanford Student AI Community and Leadership Development Initiative
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Are you a @Stanford student interested in sharing ideas and developing a community of future leaders on AI? We’d like to support your ideas! Learn more about the student affinity groups and apply by August 25:
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Bioengineering Professor Explores AI Concepts at Stanford Symposium
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Hear more about this concept from bioengineering professor @boahen_k at the upcoming Hoffman-Yee symposium on Sept 19: https://
hai.stanford.edu/events/join-us
-hoffman-yee-symposium-september-19
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Dendrites: A Novel Approach to Computer Chip Design
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Could dendrites, the spindly protrusions that neurons use to detect signals, offer a novel way of thinking about computer chips?
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AI agents learning through reflection on novel experiences
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What if AI agents can reflect on novel experiences? Could it improve AI’s performance? This research bridges AI and neuroscience by drawing inspiration from animal behavior:
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Stanford researchers reveal how children learn numbers using neural networks
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How do children learn about numbers? Stanford researchers discovered new insights about number learning in humans using a deep neural network. https://
stanford.io/44kg3Nb