AI • Law • Fairness

Alejandro Salinas de León

NLP Research Fellow at Stanford Law School’s liftlab. I build fair, interpretable, and trustworthy AI systems for high-stakes settings like law and public services.

Algorithmic Fairness AI Alignment Applied Evaluation
Portrait of Alejandro
Stanford, CA
Research focus
I organize my research around three pillars—evaluation, improvement, and governance—to translate fairness and accountability into concrete benchmarks, interventions, and deployment checklists for institutions.
Affiliations
Stanford Law School — liftlab HAI ecosystem Former: Meta (Reels/Stories DE & ML)
Publications
Google Scholar
Talks & Media
Talk
AI & Law — Opportunities and Risks
Video
Watch
Talk
The Future of Lawyers
Video
Watch
Podcast
Is AI Racially Biased?
The San Francisco Experience
Listen
Podcast
Algorithmic Fairness
YouTube
Listen
Press (selected)
USA Today — coverage of “What’s in a Name?” Read
Fast Company — related AI coverage Read
Conecta Tec — profile Read
Life updates
2025-Q3 — liftlab launched at SLS; deep dive on AI tutors for Contracts courses; I BECAME A TRIATHLETE!!!
2025-Q2 — First paper accepted at FACCT!
2024-Q4 — First paper on biases!; first Stanford lecture; UCL talk.
2024-Q3 — MPI talk; first conference ever in Sao Paulo!; kayaked and spent a week in the Amazon jungle; first half‑marathon in SF!
2023 — Graduated Physics Eng. + Law (valedictorian); Meta internship on Reels/Stories DE & ML; moved to the Bay to work at Stanford!
What I’m reading
Get in touch

Short note is perfect. I read everything.

Newsletter

Not super serious. I’ll share short notes on AI & Law when I have something worthwhile.