Arsen Kourinian is a Partner in Mayer Brown’s AI Governance and Cybersecurity & Data Privacy practices. He advises clients on data privacy and AI laws and frameworks. Arsen has published numerous articles regarding nuanced issues in these fields, including a forthcoming book entitled Implementing a Global Artificial Intelligence Governance Program.

The growing number of global and state privacy laws and AI regulations is prompting companies to integrate fundamental frameworks into their AI governance programs. While the US lacks a comprehensive federal AI law, states like Colorado have begun implementing AI regulations that could serve as a model for future state-level standards. With seemingly fragmented regulations, how can companies effectively develop an AI governance program?

A multi-regulatory approach to AI governance can be challenging for companies to navigate with regulations like the EU AI Act, Colorado's Artificial Intelligence Act, and international standards like ISO and NIST. While the regulatory landscape is patchy, harmonizing across various regulations and frameworks can help companies meet compliance obligations and reduce risk. This includes forming an AI governance committee, implementing a data governance plan, conducting risk assessments, documenting accountability with policies and procedures, and continuous monitoring and oversight of AI vendors. 

In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels speak with Arsen Kourinian, Partner at Mayer Brown, about developing an AI governance program amid emerging global and state regulations. Arsen emphasizes incorporating key components and frameworks from various laws to develop AI governance programs. He also delves into the departments that assume responsibility for these programs and offers guidance on completing AI impact assessments, highlighting the importance of risk mitigation and understanding practical harms.