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Experts in artificial intelligence debate what they call P(doom) — the probability that A.I. will grow to such heights of power that it wipes out humanity. For some, a digital apocalypse is a matter of when, not if.
A small band of nonprofit advocates, meanwhile, is rallying against the immediate dangers of machine learning, algorithms, and other A.I. technologies.
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Alexandra Reeve Givens, CEO, Center for Democracy & Technology. CDT — a long-standing advocacy and research group established in 1994 at the dawn of the internet — is a regular in congressional hearings, White House huddles, and op-eds in outlets like the New York Times. Under Givens — daughter of the late actor Christopher Reeve, who was paralyzed after an accident — the organization has highlighted A.I.’s discrimination against people with disabilities.
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.
As concern about risks and harms related to AI systems continue to grow, a growing chorus of policymakers, industry leaders, and advocates have called for independent AI assessments. This explainer provides an overview of recent proposals for third-party assessment in the United States, including state and federal legislation, executive actions, and industry proposals.
Having third parties assess AI systems might seem like common sense, but crafting effective policies toward this goal can be devilishly tricky. A poorly-constructed ecosystem for third-party assessment could easily fail to consider the most consequential mechanisms of risk, neglect the AI harms that most impact people, or do more to protect AI companies than people.
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.
