Governing AI: Privacy, Data, and Regulation Across Borders

Tokyo AI (TAI) and Orrick host an evening session on the 2026 landscape of AI and privacy regulation, spanning the U.S., Europe, and Asia-Pacific. Two talks and a panel explore legal, regulatory, and reputational risks of rapid AI adoption — from data leakage, bias, and hallucinations to IP and cross-border data transfer challenges. Shannon Yavorsky (Orrick) opens with practical guidance on scaling privacy operations with secure AI and implementing privacy-by-design and vendor oversight. Sundeep Kapur follows with a deep dive on AI's impact on AdTech and the legal/regulatory aspects shaping targeted advertising, transparency, and consumer protection. A panel with Kazuya Takeda, moderated by TAI founder Ilya Kulyatin, then tackles harmonizing AI and data transfer rules across jurisdictions such as GDPR and emerging U.S. and APAC frameworks. The evening closes with networking and food in Shibuya. Expected attendees include in-house counsel, privacy and AI governance leads, engineers and product managers building AI systems, and investors tracking the regulatory perimeter.