# Responsible AI A corporate governance framework — and an accompanying vocabulary — that positions AI companies as voluntarily self-regulating: establishing ethics boards, publishing principles, conducting safety reviews, and committing to "responsible development." Every major AI company (Google, Microsoft, Meta, OpenAI, Anthropic) has a "Responsible AI" team, program, or set of published principles. ## The term's double function "Responsible AI" simultaneously does two things: **Genuine safety work.** Responsible AI programs fund real research: bias testing, safety evaluation, [[Red-Teaming]], privacy review, fairness auditing. The teams staffed under the RAI banner include researchers doing substantive work on real problems. The label isn't purely performative. **Regulatory preemption.** "Responsible AI" is the corporate equivalent of self-regulation: "we're handling this responsibly, so you don't need to regulate us." The vocabulary of responsibility, ethics, and trustworthiness is deployed in policy conversations to argue that external regulation is unnecessary or counterproductive because the industry is already governing itself. The term does political work by framing corporate governance as sufficient governance. The tension between these functions was exposed when Google dissolved its AI ethics team (2021), when OpenAI's safety researchers departed citing commercial pressure overriding safety concerns (2024), and when multiple companies reduced RAI staffing during cost-cutting periods. "Responsible AI" as a label persists even as the teams and practices it describes face pressure from the business priorities they're meant to constrain. ## The vocabulary family "Responsible AI" sits in a cluster with "ethical AI," "trustworthy AI," "AI for good," and "beneficial AI" — each doing similar rhetorical work with slightly different emphasis. The proliferation of terms suggests that the vocabulary is doing more branding work than governance work: if the commitment were uniform, one term would suffice. ## See Also - [[AI Safety]] — the substantive field that RAI programs fund - [[Red-Teaming]] — a real practice often housed under RAI - [[AI Washing]] — the analogous dishonesty in capability claims