Politico – Are These States About to Make a Big Mistake on AI?
This op-ed – authored by CDT’s Matt Scherer and Grace Gedye, policy analyst at Consumer Reports – first appeared in Politico on April 30, 2024.A portion of the text has been pasted below.
At first glance, these bills seem to lay out a solid foundation of transparency requirements and bias testing for AI-driven decision systems. Unfortunately, all of the bills contain loopholes that would make it too easy for companies to avoid accountability.
For example, many of the bills would cover only AI systems that are “specifically developed” to be a “controlling” or “substantial” factor in a high-stakes decision. Cutting through the jargon, this would mean that companies could completely evade the law simply by putting fine print at the bottom of their technical documentation or marketing materials saying that their product wasn’t designed to be the main reason for a decision and should only be used under human supervision.
Sound policy would also address the fact that we often have no idea if a company is using AI to make key decisions about our lives, much less what personal information and other factors the program considers.
Solid regulation would require businesses to clearly and directly tell you what decision an AI program is being used to make, and what information it will employ to do it. It would also require companies to provide an explanation if their AI system decides you aren’t a good fit for a job, a college, a home loan or other important benefits. But under most of these bills, the most a company would have to do is post a vague notice in a hidden corner of their website.
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.
CDT and Partners Post Floor Alert Opposing CA SB 1013 Automated License Plate Readers Bill
The best way to ensure that Automated License Plate Readers are not abused is to limit the retention of stored data and to keep loopholes to lawful process closed. CA SB 1013 is a step in the wrong direction, and we urge the California legislature to reject this approach.