AI Safety
Frameworks and evaluation methods to ensure AI systems are reliable, controllable, and aligned with human values — from frontier model governance to deployment standards for government and enterprise.
FAIR Labs — the Fair Artificial Intelligence Research Labs — is a 501(c)(3) non-profit think tank producing independent scholarship and policy analysis on AI safety, child protection, algorithmic fairness, and the responsible advancement of artificial intelligence.
Independent Non-Profit
Peer-Reviewed Publications
Research Funding Raised
Research Programs
FAIR Labs exists to solve the complex problems arising from the Artificial Intelligence Revolution. Founded by working scientists rather than lobbyists, we bring peer-reviewed rigor to questions that too often receive only headlines: How do we keep AI systems safe? How do we protect children in an algorithmic world? How do we ensure the benefits of AI are distributed fairly?
Located in the nation's capital, we bridge the gap between cutting-edge AI research and practical policy. Our scholars publish in the leading venues of computer science — CHI, UIST, IEEE VR, ISMAR, AIIDE, FDG — and translate that scholarship into analysis that policymakers, journalists, and the public can act on.
Artificial intelligence will be the defining infrastructure of this century. Whether it is fair is a choice we make now — in research labs, in legislation, and in code.Dr. Krzysztof Pietroszek, Founder & President
Each program combines technical research with policy analysis, producing reports, tools, and testimony grounded in the scientific literature.
Frameworks and evaluation methods to ensure AI systems are reliable, controllable, and aligned with human values — from frontier model governance to deployment standards for government and enterprise.
Protecting children in the digital age: research on AI-powered safety mechanisms, age-appropriate design, synthetic media harms, and policy advocacy for the youngest users of algorithmic systems.
Combating algorithmic bias through measurement, auditing methodologies, and remediation strategies — promoting transparency and accountability in the systems that make decisions about people's lives.
Advancing responsible AI in medicine, building on our scholars' NSF-funded work in telehealth, mixed-reality medical training, and remote procedure assistance conducted with clinical partners.
Studying AI that enters physical and virtual space — robotics, volumetric capture, XR, and virtual humans — so that embodied intelligence interacts with the real world safely and honestly.
Promoting AI tools that genuinely enhance human capability — with independent evaluation, public education, and guidance that helps institutions adopt AI without importing its risks.
FAIR Labs is led by working professors who publish, teach, build, and advise — bringing decades of combined research experience in artificial intelligence and human-computer interaction.
Founder & President
Krzysztof Pietroszek is a computer scientist, filmmaker, and serial founder whose career spans the full arc of the AI revolution — from human-computer interaction research to generative AI entrepreneurship to national technology policy.
He is an Associate Professor at American University, jointly appointed in the School of Communication and the Department of Computer Science, and the Founding Director of the Institute for IDEAS (Immersive Designs, Experiences, Applications, and Stories). As Principal Investigator, he has secured major National Science Foundation awards — including a $1,000,000 NSF Major Research Instrumentation grant for a volumetric capture system and a $1.5 million NSF project using spatial computing and volumetric capture to augment remote medical procedure training, conducted with the George Washington University School of Medicine, where he served as Adjunct Assistant Professor of Emergency Medicine.
His research on 3D interaction, volumetric communication, and immersive storytelling has produced more than sixty peer-reviewed publications in the premier venues of the field — CHI, UIST, IEEE VR, ISMAR, and VRST — and keynote invitations from the Cannes Film Festival, IARIA Congress, and MINDCARE, among many others. He has held appointments at California State University Monterey Bay and as Visiting Professor at Côte d'Azur University in France, where he advanced Gaussian splatting technology for volumetric capture.
Before founding FAIR Labs, he built companies at the frontier of interactive technology: NetClick, a Y Combinator (Imagine K12)–backed real-time student response system; CineClick, a mass gaming platform for movie theatres; and most recently Moholo, a generative AI startup behind the AllAIs.com AI aggregator and single-camera volumetric capture technology. In total he has raised nearly $4 million in federal grants and private investment for research and creative work.
NSF funding as Principal Investigator
Peer-reviewed publications
Keynotes & invited talks worldwide
Senior Fellow
Mike Treanor is an artificial intelligence researcher who studies how AI systems can model something machines have always struggled with: people, their relationships, and the meaning of their interactions.
He is Chair and Associate Professor of the Department of Computer Science at American University and a founding member of the American University Game Center. His scholarship centers on AI-based game design, social simulation, procedural content generation, and computational media — using games as rigorous laboratories for understanding how artificial intelligence represents and reasons about human social behavior.
Dr. Treanor is a co-creator of Prom Week, the landmark social simulation game that was a finalist for Technical Excellence at the Independent Games Festival and a finalist at IndieCade, and of Game-O-Matic, a pioneering system that automatically generates games to express ideas and arguments. His recent research explores symbolically grounded, LLM-based generative dialogue — combining the rigor of classic social simulation with the fluency of large language models. His work has been covered by The Guardian, USA Today, Forbes, New Scientist, and Edge, and he was an invited participant in the White House Educational Game Jam and the Dagstuhl seminars on AI in games.
At FAIR Labs, he leads research on the social and interpretive dimensions of AI — how generative systems represent people, and what it takes to make those representations fair.
Technical Excellence finalist, Independent Games Festival
Dept. of Computer Science, American University
Peer-reviewed publications
Independent, research-grounded reports for policymakers, institutions, and the public.
A comprehensive framework for evaluating and deploying AI systems in government and enterprise environments, with risk assessment matrices and implementation guidance.
Read ReportAn analysis of emerging threats to children on AI-powered platforms — from synthetic media to AI companions — and concrete protective measures for platforms and parents.
Read ReportA practical toolkit for identifying and mitigating bias in deployed AI systems, with assessment checklists, testing methodologies, and remediation strategies.
Read ReportWe work with industry and academic partners to keep our research grounded in how AI is actually built and deployed.
Partnering on comprehensive AI tool discovery and evaluation, helping users navigate the rapidly expanding AI ecosystem safely and effectively.
Developing next-generation generative AI technologies that prioritize safety, ethics, and user empowerment in creative applications.
Building comprehensive AI infrastructure that supports responsible development and deployment across sectors.
Whether you are a researcher, policymaker, journalist, funder, or concerned citizen — we welcome your involvement in shaping the future of artificial intelligence.
Washington, District of Columbia
United States
Monday – Friday: 9:00 AM – 5:00 PM
Weekend: By appointment