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Shayne Longpre researches AI at Anthropic and founded the Data Provenance Initiative, studying how training data, evaluation and open-model ecosystems shape AI’s public impact. An MIT PhD, he previously worked on language models and machine learning at Google, Cohere and Apple, and builds public tools for examining AI data and real-world use.

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Shayne Longpre researches AI at Anthropic and founded the Data Provenance Initiative, studying how training data, evaluation and open-model ecosystems shape AI’s public impact. An MIT PhD, he previously worked on language models and machine learning at Google, Cohere and Apple, and builds public tools for examining AI data and real-world use.

Career

Shayne Longpre holds a PhD, Media Arts & Sciences from Massachusetts Institute of Technology and an MS, Computer Science (AI); BA, Economics from Stanford University.

Member of Technical Staff at Anthropic from 2026 to Present
Founder & Lead at Data Provenance Initiative from 2023 to Present
Google Student Researcher at Google DeepMind / Cloud from 2024 to 2025
Aya Open Science Initiative Co-Lead at Cohere for AI from 2023 to 2024
Senior Applied Machine Learning Scientist at Apple from 2018 to 2021
Research Assistant at Stanford NLP Group from 2016 to 2017
Deep Learning Research Intern at Salesforce AI Research from 2016 to 2016
dataprovenance.org

The AI Observatory

Co-led public research measuring how people use AI across models, platforms and time.

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arxiv.org

FLARE-AI: Flaw Reporting for AI

Co-authored framework for reporting AI flaws and coordinating their disclosure.

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arxiv.org

Auditing AI training-data provenance

Co-authored audit tracing dataset licensing, attribution and transparency.

Open ↗

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