Beyond AI Governance: Building a Program for the Future
About this episode
Shoshana Rosenberg is the Senior Vice President, Chief AI Governance and Privacy Officer at WSP, one of the world's leading engineering and professional services firms. She is also the Founder of SafePorter, Co-founder of Women in AI Governance, and a Strategic Program Advisor at Logical AI Governance. Shoshana is a seasoned attorney with over 16 years of experience in international data protection law, a US Navy veteran, and a passionate advocate for social entrepreneurship and inclusion.
In this episode…
In the ever-evolving and largely unsettled AI landscape, one certainty remains — the need for companies to develop governance programs to navigate and address the organizational impacts of AI. Such governance accounts for client, stakeholder, and employee expectations for AI use, as well as risk management and overarching visions for innovation. But the process involves more than simply understanding AI tools and vendors. So where do companies begin when developing AI governance programs?
AI governance isn't another compliance program where decisions are made in a vacuum. Instead, it's about building a centralized intelligence function across various teams to identify and understand AI tools, use cases, and vendors. A sustainable AI governance program evolves with the changing regulatory and technology landscape and is monitored and evaluated by the governance committee and other organizational stakeholders.
In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels sit down with Shoshana Rosenberg, the SVP, Chief AI Governance and Privacy Officer at WSP, to talk about how companies can build an AI governance program in an evolving landscape. Shoshana emphasizes the need for a proactive approach to AI governance and recommends regularly evaluating AI tools and use cases while creating and adapting associated risk profiles. This establishes a foundation that allows companies to keep moving forward, regardless of how business needs change and the AI landscape shifts.
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