Who we are

Standards are only as credible as the people who sign them.

Here's who signs ours.

Advisory Council

The people who convened this institute.

Gunjan Sinha
Founding Advisor
Gunjan Sinha is a serial entrepreneur and early internet innovator who co-founded WhoWhere? one of the world's first search engines. Since then, he has built, invested in, and scaled dozens of technology and AI companies—including eGain (EGAN), MetricStream, MarketStar, AISquare, and OpenGrowth.Ventures. His ventures span AI, compliance, knowledge platforms, and enterprise innovation.
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Adjetey Wilson
Founding Advisor
Business strategist and serial entrepreneur with an MBA from BYU. He serves as a board advisor at Coafrica, where 240+ schools have been built and 35,000+ students positively impacted across rural Africa. His background spans financial services at JPMorganChase, American Express, and Toyota Financial Services. Multilingual across six languages, speaking four fluently, he has led 100+ projects across 39 countries and six continents.
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Scott Hollingshead
Founding Advisor
Chief Growth Officer at AISquare and OpenGrowth Ventures. Eight years at Apple in strategic business development and enterprise sales, where he saw first-hand how large organizations decide what technology they're willing to depend on.
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Austin LaHue
Advisor
Human-Centered AI Researcher and PhD student at Clemson University. Studies how people interact with and are empowered by AI systems.
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Blaine Bateman
Advisor
Chief Data Scientist at EAF LLC with 35+ years spanning government R&D and applied machine learning practice.
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Horatio Morgan
Advisor
Founder of Morgan Signing House with expertise in agentic AI, AI assurance, and AI safety. Contributor to the NSF-funded TRAILS Trustworthy AI Initiative, aligning systems with NIST AI RMF, EU AI Act, and ISO/IEC 42001.
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Shub Agarwal
Advisor
Professor of AI at USC and Founder of the USC AI Trust Lab. Author of Successful AI Product Creation (Wiley, 2024) with 10+ US patents in Generative AI and ML.
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Eugene Chan
Advisor
Eugene applies behavioral science to improve AI adoption rates and to develop governance structures that actually work not just on paper but in practice. He also has broader interests in consumer behavior, including ethical and responsible use of technology. He has a PhD in management from the University of Toronto and is a Full Professor and Van Norman Chair of Business at Tyndale University in Toronto.
Mark J. Keith
Advisor
Mark J. Keith is the David and Knight Distinguished Fellow and Associate Professor of Information Systems at BYU's Marriott School of Business. His research spans information privacy and security, and currently examines how AI engagement shapes human decision-making, learning, and self-efficacy. He is the author of multiple textbooks on predictive AI and business analytics used at dozens of universities, and holds a PhD from Arizona State University.
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