Talking Tech with Kate Ruane & Riana Pfefferkorn on Grok AI
Today’s episode takes a deep dive into one of the most high-profile AI controversies in recent months: the debate surrounding Grok AI. From reports that the system generated harmful content — including material related to non-consensual intimate imagery — to broader concerns about safety guardrails, moderation decisions, and accountability, the situation has sparked serious questions across the tech policy landscape.
To help us make sense of what happened and why it matters, we’re joined by Kate Ruane, Director of the Free Expression Project at the Center for Democracy & Technology, and Riana Pfefferkorn, Policy Fellow at the Stanford Institute for Human-Centered Artificial Intelligence and a CDT Non-Resident Fellow.
Together, they examine what the Grok episode reveals about the mounting pressures facing AI companies, the real-world limits of existing safeguards, and the difficult balancing act between preventing harm and protecting free expression. This conversation explores the evolving responsibilities of AI developers — and what this moment signals for the future of speech, safety, and accountability in an AI-driven world. Produced by Drew Courtney and edited by Jake Kauffman.
Coalition Urges Senate Not to Let Companies Waive Financial Regulations for AI
CDT joined AI Now Institute, American Civil Liberties Union, and several organizations dedicated to tech policy, consumer protection, and civil rights in a letter to Senate leadership and the Senate Banking, Housing, and Urban Affairs Committee opposing the “AI Innovation Labs” language in Sec. 10509 of the CLARITY Act.
As concern about risks and harms related to AI systems continue to grow, a growing chorus of policymakers, industry leaders, and advocates have called for independent AI assessments. This explainer provides an overview of recent proposals for third-party assessment in the United States, including state and federal legislation, executive actions, and industry proposals.
Having third parties assess AI systems might seem like common sense, but crafting effective policies toward this goal can be devilishly tricky. A poorly-constructed ecosystem for third-party assessment could easily fail to consider the most consequential mechanisms of risk, neglect the AI harms that most impact people, or do more to protect AI companies than people.
Not All Guardrails Are Created Equal: Comparing Content Safety and Copyright Filtering
As courts and policymakers work through questions about chatbot liability, they should be wary of analogies that flatten meaningful technical differences. Copyright filtering and safety intervention share real challenges around ambiguity and evasion, but they diverge in what each control must assess, how each manifests over the course of a conversation, and how much can be verified from the outside.
