Anthropic 究竟为 AI 安全做了什么？What Exactly Is Anthropic Doing About AI Safety?

At Anthropic, safety is not a department — it is the product story. Here is how Constitutional AI, red teaming and the Responsible Scaling Policy fit together, and what that means for the future of secure models.

Every lab in this field is chasing the most capable system it can build. One of them has also written down rules for stopping itself when the work turns dangerous. That lab is Anthropic — launched by people who previously worked at OpenAI — and it markets itself as the industry's "safety-first" option.

Our earlier piece on the everyday risks AI poses covered what surfaces at the user's end. Anthropic works further down the stack, at the foundations. What does "safety-first" mean once you look past the slogan, though? Here is the full tour: the methods, the internal policies and the philosophy behind the company's 2026 strategy.

01What Anthropic Set Out to Do

The company opened its doors in 2021. Dario and Daniela Amodei led the effort, joined by other researchers who had come over from OpenAI. Everything rests on a single premise: AI systems will keep growing more powerful, and power that answers to no human values can do catastrophic damage.

In much of the industry safety gets bolted on late, or trotted out when a reporter calls. Here it sits at the centre of the business model. The company's argument is that the ethical obligation and the good product happen to be the same thing — software that fabricates facts, emits abuse or pitches in on a crime is broken by design. You can read the company's own account of this mission on its mission statement page.

02Constitutional AI (CAI), Explained

The centrepiece of Anthropic's research programme carries the name "Constitutional AI." To see why it matters, start with the usual training pipeline. Standard RLHF, the human-feedback route we described in how labs make their models safe, keeps people inside the ranking loop. Anthropic swaps that out for RLAIF — Reinforcement Learning from AI Feedback.

Inside the Rulebook

The model is handed a written set of principles — its "constitution." Once an answer exists, the model is asked to grade that answer against those principles. A draft that breaks a rule (the standard illustration is "never explain how to build a bomb") gets revised until it is harmless yet still useful. Millions of hours of human labelling are thereby avoided; the model largely trains itself. Anthropic publishes the constitution's latest version at its research announcement — the whole text, free for anyone who cares to read it.

03Stress-Testing the Model

Few labs red-team as aggressively. Before a system such as Claude ships, hundreds of specialists — biosecurity experts, cybersecurity hackers and others — are handed licence to break it. Their findings also feed the pre-deployment arrangements the company holds with government evaluators. One such body is CAISI, the Center for AI Standards and Innovation, a U.S. agency housed at the federal standards body — the National Institute of Standards and Technology — whose remit is to inspect frontier-lab models both before and after release.

04The Responsible Scaling Policy, or RSP

The commitment that sets Anthropic apart may well be its "Responsible Scaling Policy." Written by the company itself and entirely voluntary, the framework first appeared in 2023 and has been revised repeatedly since. Its job is to manage catastrophic risk as advanced systems push past defined capability thresholds — the "AI Safety Level" (ASL) marks. The complete, up-to-date text is available at this page.

Should a model prove that it could meaningfully assist a cyberattack, talk people into joining an extremist group, or contribute to a bioweapon, the policy obliges Anthropic to strengthen its safeguards before deployment continues. Think of it as a safety brake — one that nearly every rival lab has declined to install formally.

05Lobbying, Regulation and the Global Picture

Internal technical fixes are only part of the strategy; Anthropic also spends real effort lobbying for government oversight. Its published policy papers call for mandatory safety testing, licences for the most capable models, and cooperation between countries.

That position lines up neatly with frameworks now emerging worldwide, such as the EU AI Act, put plainly, which we broke down recently. The regulation's own wording can be read straight from the European Commission's official regulation text. Self-regulation, in Anthropic's view, does not go far enough — democratic governments need a seat at the table if AI is to develop in humanity's favour.

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