About the Center
The Center for AI Oversight is an independent 501(c)(3) nonprofit advancing the practice of AI oversight governance for boards, executives, and regulators.
The Center for AI Oversight is an independent 501(c)(3) nonprofit advancing the practice of AI oversight governance for boards, executives, and regulators.
The Center provides a construct for that oversight: what must be governed, who is accountable, and how the oversight program operates. The Center for AI Oversight calls that gap the Velocity Gap, and the AI Oversight Program is the institutional capability built to close it. Governance is not a brake on adoption. It is what gives boards the confidence to make informed, accountable AI decisions at the speed the technology demands.
The Center works with boards, audit executives, risk leaders, regulators, and trade organizations to advance AI oversight governance. Its work rests on a single thesis: organizations with mature governance infrastructure make AI decisions faster, and with greater confidence, than those without it. Governance is not a constraint on AI adoption. It is the capacity that makes confident adoption possible.
The Center rejects the premise that governance slows AI adoption. Organizations with mature oversight governance make AI decisions faster and with greater confidence. That thesis, Decision Velocity, informs everything the Center builds.
The Center defines what must be governed and who is accountable. The distinction between oversight governance and operational governance is the foundation of its work.
The Center produces frameworks, maturity models, diagnostic tools, and co-branded publications with institutional partners. Every output has practical application for the leaders who use it.
As an independent nonprofit with no commercial AI products and no vendor affiliations, the Center's guidance is grounded in research and free from conflicts of interest. Its advisory board serves in an advisory capacity only.
The Center is led by an Executive Director and Managing Director who bring complementary expertise in governance, regulation, partnerships, and operations.
Brian Allen is a licensed attorney and governance executive whose career spans the C-suite, the regulatory landscape, and the emerging question of what AI demands of fiduciary duty. He founded the Center for AI Oversight to address a gap he observed across regulated industries: boards and executives were being told AI governance mattered, but no one was defining what it actually meant at the oversight level.
Prior to founding the Center, Brian served as Chief Security Officer at Time Warner Cable (Fortune 100), where he built and led enterprise risk governance across one of the largest telecommunications companies in the United States. He subsequently served as Senior Vice President of Emerging Technology Risk Management at the Bank Policy Institute, where he advised the nation's largest banks on financial regulation and technology risk.
He currently serves as Chief Trust Advisor at Ampliwork and Adjunct Professor in the University of Connecticut's MBA Financial Risk Management program, where he teaches the next generation of risk leaders.
Scott Helfrich brings nearly three decades of executive leadership across healthcare, technology, and professional services. He has served in senior leadership roles including Chief Commercial Officer, Chief Operating Officer, Chief Client Officer, and Chief Sales and Marketing Officer, leading organizations through growth, modernization, technology adoption, and operational scale in highly regulated environments.
As Managing Director of the Center for AI Oversight, Scott leads the Center's institutional partnerships, business operations, and the execution of the programs, education, and convening activities that advance practical AI oversight. Drawing on extensive experience leading complex commercial and operational organizations, he helps bridge the gap between AI innovation and real-world implementation, bringing a pragmatic perspective to the opportunities, risks, and responsibilities facing executive leaders.
Scott's healthcare leadership background provides particular insight into the deployment of AI in environments where decisions carry significant implications for individuals, organizations, and communities. His leadership combines strategic vision with operational discipline, helping organizations adopt AI at enterprise scale without surrendering accountability.
The Center's advisory board includes former senior leaders from the federal agencies and regulatory bodies that shape AI governance expectations. Their experience informs our frameworks, our publications, and our guidance to industry.
Senior Fellows are practitioners and subject matter experts whose ongoing work in industry contributes to the Center's intellectual community and research.
The Center gratefully acknowledges the contributions of former advisory board members whose service helped shape our institutional direction.
The Center's publications, training programs, and frameworks are developed in partnership with established governance institutions, ensuring our work meets the rigor these organizations demand.
The Center for AI Oversight is incorporated in Connecticut as a nonstock corporation with federal tax-exempt status under Section 501(c)(3) of the Internal Revenue Code. As an independent institution with no commercial AI products and no vendor affiliations, its work is mission-driven. Revenue from education, publications, and institutional partnerships sustains that work and keeps its guidance independent and conflict-free.
For inquiries about training, publications, speaking engagements, or institutional partnerships.
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