🚨 Speaking October 14: Emotional AI Panel
Join me on October 14 at the American Bar Association’s Artificial Intelligence and Robotics National Institute where I will be speaking on the Emotional AI panel. We’ll dive deep into practical compliance strategies for companies as regulators sharpen their focus on emotional AI systems.
🔥 Bloomberg Law Article
My new Bloomberg Law article unpacks the game-changing implications of the FTC’s latest actions for the entire Emotional AI industry. The FTC’s September 11 orders to tech giants like Alphabet, Meta, and OpenAI signal a massive regulatory shift—moving beyond reactive enforcement toward a proactive siege on Emotional AI. Here’s the link to the article: https://lklawfirm.net/ftc-aichatbot-ailawsuit-aicompanion-emotionalai-nyaicompanionlaw/
1. New U.S. Regulatory Framework: California’s TFAIA
On September 29, 2025, California Governor Gavin Newsom signed the Transparency in Frontier Artificial Intelligence Act (TFAIA), or SB 53, into law. This landmark state regulation imposes new safety and disclosure requirements specifically on developers of the most advanced, “frontier AI” models that use massive compute power.
CA vs. EU AI Governance
| Framework | Target | Key Focus |
| EU AI Act🇪🇺 | All AI systems across the EU. | Comprehensive, risk-based regulatory framework emphasizing consumer protection and broad oversight. |
| California SB 53 🇺🇸 | Developers of “frontier AI” using massive compute power. | Critical safety incident reporting, public AI frameworks, and whistleblower protections. |
2. Algorithmic Governance
The new joint venture for TikTok—with U.S. investors taking majority ownership and Oracle managing a secure, U.S.-based cloud—has elevated AI governance to a national security concern.
The most legally interesting part of this deal is the focus on the algorithm itself, which is mandated to be “retrained from the ground up“ and operated independently of its original parent company. This move goes beyond simple data protection, directly addressing the potential for foreign influence through algorithmic manipulation.
This deal raises key questions for anyone in tech, law, or policy:
- Is a “re-trained” algorithm truly free from its original influence?
- What is the right balance between protecting national interests and fostering a global, open internet?
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