Who is legally responsible when AI causes patient injury? @StanfordHAI faculty affiliate @MichelleM_Mello and graduate fellow @NeelGuha analyze case law and introduce a risk assessment framework in this policy brief: https://
stanford.io/49SFYyV
@stanfordhai
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Legal Responsibility AI Patient Injury Stanford Analysis
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LLMs in Medical Assessments: Not Ready for Healthcare Deployment Yet
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Large language models may democratize access to healthcare by providing much-needed information to patients without requiring a physician. But is it ready for prime time? A new study finds that LLMs used for medical assessments have “a long way to go.” https://
stanford.io/4bUwS6G -
Stanford AI Student Group Publishes Social Science Research at EACL
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This year, a @StanfordHAI student affinity group delves into the intersection of social sciences and AI, resulting in a paper accepted at EACL 2024, inspired by group discussions on foundation models and NLP. Read the paper: https://
bit.ly/3Ta8ZAu -
Stanford Index Evaluates 18 AI Developers on Transparency Metrics
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The next release of @StanfordCRFM
’s Foundation Model Transparency Index will compare 18 commercial developers across 100 metrics, allowing self-assessments and a window for developer rebuttal before scores are announced. https://
stanford.io/4bHHoOt -
LLM Limitations Risk Deepening Legal Inequalities
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Current limitations of LLMs pose a risk of further deepening existing legal inequalities rather than alleviating them.
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AI Privacy Challenges: Are Existing Regulations Sufficient?
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New white paper: What challenges do AI pose to our data privacy? Will existing regulations protect us? @StanfordHAI
’s @kingjen and @acmeinhardt tackle these questions – arguing that existing laws in the EU and the US aren’t enough to prevent privacy harms. https://
stanford.io/48leCQI -
Safeguarding Society from Unintended AI Consequences in 2024
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It is crucial in 2024 that society, business leaders, and policymakers safeguard the future from the unintended consequences of AI, says HAI faculty affiliate @mehran_sahami in the @Stanford Report. https://
stanford.io/3UO3Or4 -
AI Education Tools: What Actually Works at Summit
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What new AI tools for education actually work? The second AI+Education Summit explored the latest developments in the field and examined their merits.
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Stanford Scholar Testifies on Public Sector AI Policy California
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Happening today: @StanfordHAI senior fellow Daniel E. Ho testifies before the California State Senate to provide an academic perspective to conversations around public sector AI. Watch the livestream: https://
senate.ca.gov/media/senate-t
v1/video?id=194498
… Or read the full testimony: https://
stanford.io/3wq0N6m -
AI adoption in social and education sectors survey
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How are the social and education sectors thinking about AI? In collaboration with @project_evident
, we surveyed nonprofits and philanthropic organizations about their current and future use of the technology. https://
stanford.io/3T4dDA4