Dr. Margaret Mitchell
Chief AI Ethics Scientist
Chief AI Ethics Scientist at Hugging Face. Former founder and co-lead of Google's Ethical AI team. Co-creator of 'Model Cards for Model Reporting', the industry standard for reporting model characteristics, performance metrics, and evaluation conditions. Internationally renowned researcher in computer vision-language grounding, clinical evaluation, and ethical AI auditing.
Areas of focus
Professional niches
Proof of Work
Model Cards for Model Reporting: Standardizing ML Evaluation Disclosures
Authored the seminal ACM FAccT paper introducing 'Model Cards for Model Reporting', an operational documentation standard that details model architecture, intended tasks, training parameters, out-of-scope uses, and disaggregated demographic evaluations.
Static documentation can diverge from deployed weights if model inputs undergo runtime changes or unlogged adapter swaps.
Context: Disaggregated evaluation metrics across intersecting demographic slices and environmental contexts.
View missionAuditing Multimodal Generative Systems for Representational and Allocative Harm
Formulated structured auditing protocols for text-to-image and multimodal foundation models, measuring bias propagation across CLIP embeddings, latent diffusion prompt expansions, and synthetic face generation.
Balancing automated quantitative metric auditing with contextual qualitative evaluation requires domain-specific sociological input.
Context: CLIP, Stable Diffusion, demographic diversity benchmarking over fine-grained prompt variations.
View mission