Today at 1pm PT: @stanfordhai
's @drfeifei and @AmyZegart join other experts for the DC launch of the Stanford Emerging Technology Review. The discussion will highlight the findings of the SETR report on 10 key technologies and their policy implications: https://
setr.stanford.edu/events/stanfor
d-emerging-tech-review-dc-launch
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@stanfordhai
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Stanford Emerging Technology Review DC Launch Event
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Stanford AI4ALL Summer Program Application Reviewer Position
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Stanford students: Join our team as an Application Reviewer for the AI4ALL Summer Program with @StanfordHAI
! This position is fully remote. Learn more about the opportunity here: https://
bit.ly/3U9MrRp -
Stanford AI+Education Summit Convenes Leaders February 1
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The next AI+Education Summit will convene @Stanford faculty and students along with leaders from academia, industry, civic society, PK-12 education, and government to discuss advancing human learning with AI technologies. Register to attend on February 1: https://
stanford.io/49bqc1L -
Legislation to Bolster Public Sector AI Research Initiative
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Plus: HAI Co-Director @drfeifei and HAI Associate Director @Rbaltman dive into what this resource could do. 3/3 https://
hai.stanford.edu/news/legislati
on-will-bolster-public-sector-ai-research
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NSF Launches NAIRR Pilot for Public Good AI Development
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Thrilled to hear that the National Science Foundation (
@NSF
) launched a 2-year pilot for the National AI Research Resource or NAIRR. HAI has been advocating for this since inception to ensure AI is developed for the public good. (via @politico
) 1/3 https://
bit.ly/3vLzkf0 -
NAIRR Resource: Why We Need National AI Research Infrastructure
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More about the NAIRR: HAI deputy director @RussellWald explains why we need this resource. 2/3
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ML Improves Crisis Response Time Classification Accuracy
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10 hours to 10 minutes: A new application of ML technology empowers crisis specialists to distinguish between urgent and non-urgent calls, dramatically improving response time. https://
stanford.io/3U6jy8G -
Fine-Tuning Foundation Models: New Safety Risks Emerge
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When users of foundation models customize them through a process called fine-tuning, new safety risks emerge. Read the HAI Policy Brief:
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Companies Using AI With Workers Strategic Advantage
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@erikbryn explains during the World Economic Forum that savvy companies will use AI in conjunction with workers. @digeconlab
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Stanford research reveals AI disparities in U.S. government IRS algorithms
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A research team supported by @StanfordHAI
’s Hoffman-Yee grant showed how AI-driven learning can benefit U.S. government agencies, and uncovered disparities in IRS algorithms. https://
stanford.io/3vU43q5