AI raises new ethical issues for civil engineers. In this piece, @StanfordWoods senior fellow Sarah Billington discusses how @StanfordHAI
's ethics and society review board helped her team address privacy concerns in their data collection. https://
bit.ly/4hpxa7m
@stanfordhai
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AI ethics review board addresses civil engineer privacy concerns
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Machine Learning Analyzes Directorial Styles in Theater
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Join today's @StanfordHAI seminar with Michael Rau to hear how machine learning and computer vision can be used to analyze directorial styles and other aspects of theater performances. https://
stanford.io/3EfZXga -
Stanford AI Director: Guiding AI Development in Positive Direction
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WATCH: @StanfordHAI co-director James @landay spoke with @Axios @inafried at @DLDConference
, joining innovators and visionaries at the event's 20th year. "We need to make sure we guide AI in a positive way, because it won't end up being good by itself." -

LLMs Show Bias Toward Socially Valued Personality Traits
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When @Stanford researchers surveyed LLMs on the “big five” personality traits, the models started to bend their answers toward what society values. @JEichstaedt @AadeshSalecha https://
stanford.io/3E1DyTL -

Stanford Leaders Convene on AI for Healthy Communities Initiative
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Last week, our co-director James @Landay joined national leaders from health, tech, education, and policy in Bentonville for #ThinkHealth: AI for Healthy Communities, an event co-hosted by @StanfordMed & Alice L. Walton School of Medicine. https://
stan.md/3DX9gl3 -
Federal Agencies Implement AI Executive Order and OMB Requirements
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The paper examines the implementation of the AI Executive Order and OMB Memo requirements for agencies to (a) appoint Chief AI Officers and (b) issue plans for internal strategic planning and governance (in compliance with the OMB Memo), as well as (c) make associated budgetary
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US Agencies Strengthen AI Leadership Despite Implementation Challenges
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Executive leadership and agencies have taken significant steps toward organizing and elevating AI leadership and improving implementations. But challenges remain: Only 30% of agencies disclose CAIOs, 89% of those disclosed are dual-hatted, 65% of agencies requested no FY25 AI
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Government AI Implementation Requires Senior Leadership Coordination
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With key barriers to implementation including resources, workforce, and infrastructure, it is evident that a “whole-of-government” approach to AI innovation continues to require senior-level leadership that shepherds consistent compliance across distinct government agencies. We
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Federal AI Leadership and Transparent Implementation White Paper
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New white paper: As the U.S. federal government continues to move toward greater adoption of AI, the need for transparent and effective leadership within federal agencies remains vital. Scholars from @StanfordHAI
, Stanford RegLab, and @acusgov assess the implementation of key -

Yejin Choi Joins Stanford HAI as Senior Fellow
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We are excited to welcome @YejinChoinka to @StanfordHAI
's vibrant community of scholars! In this Q&A, she talks about what she hopes to accomplish as our latest senior fellow: https://
stanford.io/4jkogda