Shortlisted 2026

Dr. Rumman Chowdhury has been shortlisted for a 2026 Global Recognition Award.

Global Recognition Awards

Dr. Rumman Chowdhury

Dr. Rumman Chowdhury has been shortlisted for a 2026 Global Recognition Award
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First name

Rumman

Last name

Chowdhury

Industry

AI Ethics, Machine Learning

Area of excellence

Leadership, Service

Scale of impact or excellence in your field

International

Ethical decision-making and integrity

5

Addressing global challenges

5

Vision and strategy implementation

5

Impact on community or industry

5

Originality or innovation in research or its methodology

5

Ability to inspire and motivate others

5

Innovative approaches to addressing societal needs

5

Supporting evidence to showcase achievements

As CEO and co-founder of Humane Intelligence, I’ve pioneered community-driven approaches to AI auditing and evaluation through innovative “bias bounties” and institutionalized red teaming methodologies. My work addresses one of technology’s most critical challenges, ensuring artificial intelligence systems are fair, transparent, and accountable to the communities they impact. I serve as U.S. Science Envoy for Artificial Intelligence, representing American AI expertise and values on the global stage, and sit on New York City’s AI Steering Committee, shaping policy that affects millions. 

Previously, I led AI ethics teams at Twitter and Accenture, where I developed frameworks and practices that major technology companies now adopt across the industry. My approach emphasizes that AI ethics cannot be separated from the cultural contexts in which systems operate, and effective governance requires diverse perspectives, community participation, and ongoing evaluation. I hold a doctorate and bring rigorous academic research to practical implementation, bridging the gap between theoretical ethics and real-world AI deployment. 

Through Humane Intelligence, I’m democratizing AI safety by creating mechanisms for public participation in technology evaluation, proving that responsible AI development requires input from those most affected by these systems, not just those who build them.

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