Dr. Timnit Gebru
Executive Director
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Timnit Gebru. Every entry undergoes editorial source verification.
Datasheets for Datasets: Standardized Transparency Protocol
Co-authored the CACM benchmark paper establishing 'Datasheets for Datasets', standardizing documentation of motivation, composition, collection process, preprocessing, and recommended uses across machine learning training datasets.
Compliance is self-reported by dataset creators; verification requires independent audits and automated dataset inspection tooling.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Published the landmark ACM FAccT paper critically examining the environmental costs, training data biases, lack of semantic grounding, and illusion of intent when scaling large autoregressive language models without curated provenance.
Focusing on systemic risks does not quantify operational benefits in domain-specific tasks where automated verification pipelines exist.