Just announced: @AmbassadorRice and @MichaelKratsios have joined @StanfordHAI as Distinguished Visiting Fellows. They will contribute to HAI’s research efforts, exploring AI's global implications and understanding the fundamentals of human-centered AI.
@stanfordhai
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Inclusive AI Data Practices Engaging Teachers Students
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“By engaging teachers and students from the outset, our goal is to ensure that our data practices are inclusive and representative of diverse learner experiences and needs,” says HAI Faculty Fellow @HariSubramonyam about a recent preprint paper.
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LLM Hallucinations in Medical Assessments: A Critical Concern
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In a recent study, 4 out of 5 LLMs hallucinated a significant proportion of sources for their answers to medical questions. Should we be using them for medical assessments?
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Stanford Launches Center for Research on Foundation Models
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August 2021: Recognizing a paradigm shift in AI, we launched the Center for Research on Foundation Models (
@StanfordCRFM
) led by @percyliang and published a groundbreaking report on the opportunities and risks of foundation models. #MondayMilestones 11/n -
Ethics Review Process for AI Research Grants Launched
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June 2021: True to our mission of advancing human-centered AI research, we piloted a new Ethics and Society Review process for awarding grants to encourage researchers to consider the wider ramifications of their work in AI. #MondayMilestones 10/n
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White House AI Research Resource Task Force Includes Stanford HAI Co-Director
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June 2021: To help develop the roadmap to a National AI Research Resource, the White House announced a federal advisory committee that included @StanfordHAI co-director @drfeifei
. #MondayMilestones 9/n https://
hai.stanford.edu/news/hai-co-di
rector-fei-fei-li-named-national-artificial-intelligence-research-resource-task-force
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Stanford Launches Embedded Ethics Initiative for Computer Science Students
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October 2020: Together with @stanfordethics and @stanfordeng
, we launched the Embedded Ethics initiative to ensure that computer science students understand the importance of ethics in a technological context. #MondayMilestones 8/n https://
hai.stanford.edu/news/building-
ethical-computational-mindset
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Street-Level AI Model Detects Early Gentrification Signs
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Improved data on gentrification will enable cities to target anti-displacement measures more effectively, says @StanfordHAI faculty member Jackelyn Hwang. Here she discussed how a model trained with street-level images found early signs of gentrification.
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Fei-Fei Li: ImageNet Pioneer and AI Trailblazer’s Journey
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Early in her career, @StanfordHAI co-director and AI trailblazer @drfeifei created ImageNet, a groundbreaking project that set the stage for future AI advances. In a 2023 memoir, she writes about her journey as an immigrant and scientist: 16/n https://
hai.stanford.edu/news/fei-fei-l
i-candid-look-young-immigrants-rise-ai-trailblazer
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Healthcare AI Liability: Who Bears Responsibility for Patient Harm?
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When use of a healthcare AI tool harms patients, who is responsible? Leading empirical health law scholar @MichelleM_Mello studies liability risk in healthcare AI tools & advises governments on how to proceed. Watch her talk at a @StanfordHAI seminar: 15/n https://
hai.stanford.edu/events/michell
e-mello-understanding-liability-risk-healthcare-ai-tools
…