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.
The norms of conversational advertising are being written right now by companies. Policy should be written alongside them, and it should start with recognizing that surreptitious manipulation at scale built on intimate information is itself a privacy harm, and a privacy law can, in part, solve some of those issue
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.
CDT Submits Comments Urging Careful Approach for Expansion of Do Not Pay System
CDT urges agencies to protect the personal data with which they have been entrusted by applying robust data minimization practices, enacting strong security protocols, limiting redisclosure, and mitigating data quality issues.
What is a Database? A Technical Guide to the Personal and Institutional Considerations of Government Data Consolidation
Data consolidation must be rigorously assessed to ensure that appropriate protections are in place, the data sharing is in service of the agencies’ missions, and there are frameworks and processes in place to ensure the data is not repurposed in ways that harm the people the agencies are meant to serve.
