CDT Sends Letter to House Energy & Commerce Leaders on How Privacy Impacts AI
On October 17, CDT sent a letter to House Energy & Commerce leadership urging them to pass comprehensive privacy legislation as a foundational pillar of AI governance, and arguing that privacy is essential for responsible, rights-respecting AI innovation.
Passing comprehensive privacy legislation such as ADPPA is a key step in protecting against AI-related harms. Core aspects of ADPPA, including data minimization, protecting civil rights, and algorithmic impact assessments, would help address some of the privacy harms related to AI and provide a critical underpinning to Congress’ further work on AI.
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.
Talking Tech with Roy Austin & Alex Givens on The Future of AI Governance
In this episode of CDT’s Tech Talks, Roy L. Austin, Jr., inaugural director of Howard University School of Law’s AI Initiative, joins Alexandra Givens, President and CEO of the Center for Democracy & Technology, to discuss the challenges and opportunities shaping the future of AI.
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.
Comment to House Financial Services Committee on Regulation of AI
CDT submitted comments on the application of current federal laws and regulations related to the use of AI in the financial marketplace and any proposed reforms to provide for an appropriately modernized and comprehensive federal financial AI framework.
