“GenAI may deliver on its promise in healthcare within a few years, not decades,” writes @Bob_Wachter and @DigEconLab director @erikbryn in @JAMA_current
. They explain the productivity paradox and whether a similar paradox will occur with generative AI.
@stanfordhai
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GenAI Healthcare Promise Delivery Within Years Study
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AI transforms medicine: ensuring beneficial healthcare innovation
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How might AI transform medicine, and how can we ensure it’s for the better? Leaders of the RAISE-Health initiative by @StanfordMed and @StanfordHAI share their insights. https://
stan.md/3Nj8LUn -
Ethical Review Process for AI in Medicine Emphasized
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Scholars including HAI faculty affiliates @MichelleM_Mello and @drnigam underscore the importance of an ethical review process of AI in medicine in a commentary on @JAMA_current
. @StanfordHP @StanfordMed -
Tech Companies’ AI Ethics Gap: Policy vs Practice Analysis
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New policy brief: Tech companies often “talk the talk” of AI ethics without fully “walking the walk.” Our empirical investigation into AI ethics on the ground highlights the stark gap between company policy and practice in this field. @sannasideup https://
hai.stanford.edu/policy-brief-w
alking-walk-ai-ethics-technology-companies
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AI Executive Order: Workforce Gaps Challenge Implementation Progress
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Workforce gaps remain one of the biggest challenges in implementing the @POTUS AI executive order. Among the requirements, workforce policy generated the most to-do items, according to a new tracker by @stanfordhai
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Responsible AI Deployment Requires Societal Analysis in Design
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In a recent #TIME100Talks, @stanfordhai vice director @landay stressed the need for responsible AI deployment and building societal analysis into the design process: “AI technologies have an impact way beyond the direct user you’re designing for.” https://
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AI Executive Order and Congressional Role in AI Leadership
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“The AI Executive Order and OMB memo’s focus on AI safety, investment, talent & leadership are critical for America to lead in AI innovation and governance. But the executive branch cannot achieve this goal fully without Congress,” said Dan Ho. Read here: https://
stanford.io/482JwxE -
HAI Fellow Testifies on Three Possible Paths for AI’s Future
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Today at 11 am PT: HAI senior fellow Dan Ho testifies in front of the @GOPoversight
, where he describes three possible paths for AI’s future. What’s next depends on the decisions we make today. Watch here: https://
bit.ly/3GxtHDc Or read the testimony: https://
stanford.io/3NeKnDq -
Nanodendrites Enable Brain-Like Energy-Efficient Computing Innovation
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“Neural networks today are about as similar to a brain as an airplane is to a bird,” says faculty affiliate @boahen_k
. His nanodendrite brings us closer to brain-like computing, signaling a potential shift from power-hungry systems to energy-savvy chips. https://
stan.md/3R4yXTM -
AI Impact on Productivity, Inequality, and Market Concentration
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How will AI impact productivity growth, income inequality, and industrial concentration? The future of AI isn’t written; it’s shaped by our policies and collective decisions, says @DigEconLab director @erikbryn and postdoc @_gabrielunger in @IMFNews
.