The AI Drop #9: Trust in the Balance: Navigating Reality in the AI Age with Claire Leibowicz

California and New York are taking different approaches to AI oversight, but both reflect a shift toward more active regulation. Host Anna Gressel welcomes back Freshfields partner Megan Kayo to share key takeaways from PLI’s first AI governance event in New York, which Anna chaired. The event featured keynote fireside chats with two leading state regulators, offering a view from the front lines of AI regulation in California and New York. Megan shares insights from her conversation with Sabrina Ross, Chief Privacy Auditor at CalPrivacy, on California's new automated decision-making rules and cybersecurity risk assessments, and on why compliance responsibility stays with the business, not its vendors. Anna discusses her conversation with Kaitlin Asrow, Acting Superintendent of the New York Department of Financial Services (“DFS”), about the RAISE Act and DIGIT, DFS’s new frontier AI office. Anna and Megan also explore New York City’s latest AI proposals and California’s wave of new AI laws. Against this increasingly complex patchwork of state requirements, the episode offers businesses a timely look at where AI regulation is heading and what to watch next.

When two lawyers who co-head a global AI practice spend the day at a high-level policy forum, they come home with a lot on their minds. In this episode, Anna Gressel and Giles Pratt, Freshfields' Global Head of IP/Data Practice and Global Co-Head of AI, cover The Observer's new global AI cities rankings, the copyright questions looming over AI-generated code, the UK's pro-innovation policy bet — and a prediction for 2027 that involves all of us. Consider it the debrief that didn't stay in the room. Giles explains why investors now ask whether the AI work they fund can actually be owned, and how UK law uniquely protects computer-generated works for 50 years, versus life plus 70 for a human author. He also warns that unsettled rules on model training could shape where data centers get built. Connect and Learn More ☑️ Giles Pratt | LinkedIn ☑️ Anna Gressel | LinkedIn ☑️ Freshfields ☑️ Subscribe Apple Podcasts | Spotify | Amazon Music

In this episode of The AI Drop, Jason Stanley, Head of Applied AI Research at ServiceNow, returns for another discussion with host Anna Gressel on one of the most pressing challenges in AI governance: how to oversee AI systems that continue to adapt after deployment. Together, they explore what adaptive and self-improving AI means for enterprise risk and governance.

The most effective AI governance programs don't slow innovation down. They create the guardrails, visibility, and trust needed to scale AI responsibly and confidently. In Part 2 of this conversation, Anna Gressel welcomes back Polina Zvyagina, Director and Executive Lead Counsel for AI & Data Governance at General Motors, for a deep dive into what effective AI governance looks like in practice. From NIST's AI Risk Management Framework to the challenges of AI agents, shadow AI, evaluations, and scalable governance, Polina shares practical insights on building governance that works in the real world. The conversation also examines why governance should function as a "seatbelt, not a brake," helping organizations innovate faster while maintaining trust, transparency, and accountability. They also discuss the importance of human judgment, evaluating AI outputs, fitness-for-purpose testing, and avoiding overreliance on AI systems as organizations scale adoption. For governance leaders, legal professionals, and business leaders alike, this episode offers a important insights for building responsible AI programs that can evolve alongside the technology. Connect and Learn More ☑️ Polina Zvyagina | LinkedIn ☑️ Anna Gressel | LinkedIn ☑️ Freshfields ☑️ Subscribe Apple Podcasts | Spotify | Amazon Music

In this episode of The AI Drop, Anna Gressel sits down with Polina Zvyagina, Director and Executive Lead Counsel for AI & Data Governance at General Motors, to explore one of the most sought-after legal roles in tech today: AI Product Counsel. Polina shares how she helped pioneer the AI product counseling field and explains why the future of AI governance depends on embedding legal, policy, and risk expertise directly into the product development process. Together, Anna and Polina explore how organizations can move beyond treating AI governance as a compliance exercise and instead use it to enable responsible innovation. Polina also offers a behind-the-scenes look at the AI product counsel role, sharing how legal teams work alongside engineers and business leaders to balance innovation with privacy, transparency, consumer protection, and other key risks. For lawyers and governance professionals alike, the conversation provides practical insights into one of the fastest-growing roles in the AI ecosystem. Connect and Learn More ☑️ Polina Zvyagina | LinkedIn ☑️ Anna Gressel | LinkedIn ☑️ Freshfields ☑️ Subscribe Apple Podcasts | Spotify | Amazon Music