CDT’s Tech Talk is a podcast where we dish on tech and Internet policy, while also explaining what these policies mean to our daily lives. You can find Tech Talk on SoundCloud, iTunes, and Google Play.
Is math biased? That seems like a silly question – in math there is right and wrong, so how could it possibly be biased? But humans use math and develop mathematical models and algorithms, and humans can certainly be biased. So, maybe math can be biased.
In her new book, Weapons of Math Destruction, Cathy O’Neil explores how big data is increasing inequality and threatening democracy – that is actually the subtitle for the book.
In our conversation, Cathy covered a number of issues, including the recent election, teacher scoring, and predictive policing. Definitely tune in to this episode of Tech Talk – and buy her book!
On September 15, 2026, the Center for Democracy & Technology and Electronic Frontier Foundation filed an amicus brief along with the Wikimedia Foundation in Meta Platforms v. Bonta, challenging California’s SB 976.
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.
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.
CDT-led Coalition Calls for Transparency for White House AI Framework
CDT and Americans for Responsible Innovation led a broad, bipartisan coalition of over two dozen civil society groups in calling on the White House to release its Framework for review of frontier AI models.
