The Human-centered AI *Institute* (
@StanfordHAI
)
RESEARCH
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Stanford Human-Centered AI Institute Research and Initiatives
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Stanford’s Human-Centered AI Initiative Addresses Critical Societal Challenges
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If anyone still wonders why @Stanford established the Human-centered AI (
@StanfordHAI ) to “study and forecast AI’s human impact” (among other goals) in 2019, please read this pieceThere is a lot we need to work on collectively as a community, a society and individual citizens. -
Survey Recommendation for Field Newcomers
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a nicely put together survey for people entering the field!
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Joint Research Collaboration with Multiple Institutions and Partners
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Joint work with @shrimai_ @rmichaelalvarez @caltech @nvidia
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Automated Testing for Social Bias in Large Language Models
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Testing Language Models at scale for social bias is challenging. We build automated testing: test sentences are automatically generated given the bias dimensions. This allows getting statistically meaningful measures for bias as opposed to a small number of hand-written templates
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Five Important Trends in Big Data Analytics
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#DataOps https://
entrepreneur.com/en-in/technolo
gy/five-important-trends-in-big-data-analytics/444251
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Meta AI Toolformer: Language Models Teaching Themselves Tool Use
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Meta AI & UPF’s Toolformer: Enabling Language Models to Teach Themselves to Use External Tools https://
syncedreview.com/2023/02/16/met
a-ai-upfs-toolformer-enabling-language-models-to-teach-themselves-to-use-external-tools/
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OpenAI releases ChatGPT behavior guidelines and bias documentation
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Si tenéis curiosidad, respecto a los sesgos y posibles inclinaciones de IAs como ChatGPT, hoy OpenAI ha sacado un post explicando cómo funcionan las cosas. No sólo eso, también han compartido parte del .pdf de instrucciones que sus reviewers usan: https://
cdn.openai.com/snapshot-of-ch
atgpt-model-behavior-guidelines.pdf
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Bing Chat vs ChatGPT: Personality Differences and Closed-Source Limitations
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bing chat seems to have really quite a different « personality » than chatGPT does it comes from the model and training data, how it’s used and integrated or users interactions we’ll likely just never know why since it’s all closed source research and deployment
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Distinction between simulated and actual consciousness
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Where do you draw the distinction between simulated consciousness and actual consciousness?