Sophisticated statistical analysis is a pillar of decision making in the 21st Century, including employment, lending, and policing. Automated systems also mediate our access to information and community through search results and social media. These technologies are pivotal to day-to-day life, but the processes that govern them are not transparent.
Civil rights and privacy advocates have expressed concern that this erodes accountability and fairness. CDT is working with stakeholders to develop guidance that ensures the rights of individuals, encourages innovation and design incentives that promote responsible use.
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.
