Methodologies for AI Assessments, Reviews, and Audits

In the recent episode “Methodologies for AI Assessments, Reviews, and Audits” from the New York City Bar Association, Azish Filabi, JD, MA, managing director of The American College Cary M. Maguire Center for Ethics in Financial Services, joined a panel of experts to explore how assessments, reviews, and audits differ, and why clear definitions and methodologies matter for effective oversight.

The conversation examined international approaches across the United States, European Union, Canada, and the United Kingdom, highlighting how regulatory expectations are evolving around transparency, accountability, and the identification and mitigation of bias. The panel also discussed practical ways organizations can examine AI models, with examples from high-stakes sectors such as financial services, anti-money laundering, counter-terrorist financing, fraud prevention, and export controls.

This topic connects directly to the work underway at the Center for Ethics in Financial Services. Through the Responsible AI program, the Center is convening a series of Responsible AI Executive Forums that support leaders who are navigating emerging governance challenges and who want to build approaches grounded in sound methodology and ethical practice.

More on Responsible AI

• For professionals seeking to strengthen their AI governance efforts, listen to the full episode as an accessible and informative starting point.
• Explore our Responsible AI program to learn more about how we are helping the industry navigate this complex space.
• Learn more about becoming a corporate supporter of our Alliance for Ethics in Financial Services to unlock exclusive invites to the Responsible AI Executive Forums  and gain first access to our research.
• Explore key insights on AI in financial services from our publications, including Adaptable Artificial Intelligence, AI Ethics and Life Insurance: Balancing Innovation with Access, and Five Key Questions for Ensuring Responsible AI in Financial Services. For additional insights on AI in financial services, visit the Center for Ethics’ News and Research page.