Dr. Sasha Luccioni
VERIFIED TECHNICAL DOSSIERSources checked

Dr. Sasha Luccioni

Climate Lead & AI Researcher, Hugging Face | Leading Model Audit Specialist

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Sasha Luccioni. Every entry undergoes editorial source verification.

#1
EXPLANATION Checked Sep 20, 2026

Hugging Face: Enterprise AI Risk Management & Governance Framework

A structured governance and compliance methodology authored by Dr. Sasha Luccioni at Hugging Face, establishing organizational guardrails, vendor evaluation criteria, and model validation standards for enterprise adoption.

Model & Execution Context:Aligned with NIST AI RMF, ISO 42001, and enterprise security policies.
Scope & Limitations

Strategic governance advisory framework; regulatory compliance requirements must be validated against regional legal statutes.

#2
RESEARCH Checked Sep 20, 2026

Measuring the Carbon and Energy Footprint of Machine Learning Inference

Empirical evaluation measuring the exact energy consumption and carbon intensity across diverse machine learning tasks and model classes during real-world inference.

Model & Execution Context:Energy profiling across 88 multimodal and language model tasks.
Scope & Limitations

Readings vary according to regional grid energy sources and specific data center PUE coefficients.