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Center for AI Oversight

Make accountability real wherever AI is put to work.

The Center exists to close The Velocity Gap: the distance between the pace of AI adoption and an institution’s capacity to oversee it. It defines what must be governed, who is accountable, and the record that supports an informed decision.

AI’s benefits and consequences reach beyond any one organization. Decisions made across institutions can affect patients, customers, employees, and the wider public. Distributed Accountability connects this shared need to specific responsibilities: every organization that builds, adapts, or puts AI to work must answer for the decisions it controls, with named accountability inside it.

That is why the Center conducts research, develops reference tools, educates boards, executives, regulators, and legislators, and convenes the professions. Shared understanding helps warnings and concerns reach people with authority to act, and helps institutions learn from experience. The purpose is to let organizations take informed risks, realize the benefits of AI, and move with confidence while remaining answerable for the consequences.

  • The Oversight Layer

    Oversight establishes the scope, authority, and accountability above management and technical controls. The Center defines the decisions that belong at that level.

  • The Informed Decision Standard

    A sound oversight process gives an institution a basis for weighing risk and reward, making a decision, and explaining the judgment behind it.

  • The AI Oversight Program

    The program gives these ideas institutional form: defined responsibilities, authority, reporting, and evidence of decisions. The program is the governance.

  • Independent research and education

    The Center is a nonprofit serving boards, executives, public institutions, and the professions. Its role is to build understanding and the capacity to oversee AI. Each institution retains responsibility for its own decisions.

Explore the Center’s research →

Leadership Team

The Center is led by an Executive Director and Managing Director who bring complementary expertise in governance, regulation, partnerships, and operations.

Brian Allen, Executive Director of the Center for AI Oversight

Brian Allen

Executive Director

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.

Career Highlights
Chief Security Officer
Time Warner Cable (Fortune 100)
SVP, Emerging Technology Risk Mgmt
Bank Policy Institute
Chief Trust Advisor
Ampliwork
Adjunct Professor, MBA Program
University of Connecticut
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Scott Helfrich, Managing Director of the Center for AI Oversight

Scott Helfrich

Managing Director, Partnerships and Operations

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.

Career Highlights
Executive Leadership
PSS / McKesson / nThrive / Parcel Shield
Enterprise Modernization
Healthcare & Life Sciences
Healthcare & Technology
Deep experience across healthcare, technology, data, and business operations
Oversight in Practice
Decades of executive experience applied to advancing practical, accountable, and scalable approaches to AI oversight
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Guided by leaders who built the regulatory landscape.

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 standards, our publications, and our guidance to industry.

Includes former senior leaders from:
Federal Reserve U.S. Securities & Exchange Commission Federal Communications Commission U.S. Department of the Treasury
Brian Peretti
Brian Peretti
Former CTO & Deputy Chief AI Officer, U.S. Department of the Treasury
Led technology strategy, AI implementation governance, and digital modernization at one of the largest and most complex federal agencies. His firsthand experience building AI governance infrastructure within government informs the Center's practical approach to oversight program structure.
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David Simpson
David Simpson
Rear Admiral, U.S. Navy (retired), former Chief of the Public Safety and Homeland Security Bureau, FCC
Senior military and regulatory leadership spanning telecommunications, cybersecurity, critical infrastructure protection, and interagency governance. His experience governing technology where national security meets civilian regulation informs the Center's cross-sector oversight standards.
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Chuck Senatore
Chuck Senatore
Former Director, SEC Southeast Region
Directed SEC enforcement and examination programs with deep expertise in financial services regulatory oversight, compliance infrastructure, and institutional accountability. Subsequently served as Head of Risk Oversight at Fidelity Investments, leading governance across the firm's risk management infrastructure. His perspective on regulatory expectations and enterprise risk oversight informs the Center's guidance on how boards should prepare for evolving AI oversight requirements.
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Jim Cunha
Jim Cunha
Former Executive Vice President, Federal Reserve Bank of Boston
Led innovation and technology strategy at the Boston Fed for over two decades, including pioneering work on digital currency, payment systems modernization, and financial technology risk assessment. His experience bringing technology governance inside a monetary policy institution directly informs the Center's approach to AI oversight in financial services.
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Rudy Brioche
Rudy Brioché
Former VP & Policy Counsel, Comcast Corp.
Led global public policy at Comcast and served as Chief of Staff and Legal Advisor at the FCC, shaping telecommunications, cybersecurity, and AI strategy.
LinkedIn →
Senior Fellows

Senior Fellows are practitioners and subject matter experts whose ongoing work in industry contributes to the Center's intellectual community and research.

Ankur Singhal
Ankur Singhal
Board of Directors, Cyber Risk Institute
Technical leadership at FINRA and the Cyber Risk Institute with deep expertise spanning financial regulation, technology risk, and governance model development. His work on the CRI Profile directly informs the Center's approach to maturity model architecture and regulatory alignment.
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An independent 501(c)(3) nonprofit organization.

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. Revenue from education, publications, and institutional partnerships sustains its research and educational mission.

Legal Name Center for AI Oversight, Inc.
Tax Status 501(c)(3) Tax-Exempt
State of Incorporation Connecticut
Founded 2026
Headquarters Norwalk, Connecticut
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Get in touch.

Contact the Center about training, publications, speaking engagements, or institutional partnerships.