Anthropic Withdraws Security Commitment: A Turning Point in the AI World

One of the most respected organizations established in 2023 to define the ethical boundaries of artificial intelligence, Anthropic, has formally rescinded its strongest safety commitment in AI development—the “Safety First” principle. This decision is not merely a shift in corporate policy; it signals a fundamental philosophical transformation at the core of AI’s ethical and safety paradigm. Anthropic no longer requires that “all safety prerequisites be fully guaranteed” before training an AI system. This may go down in history as a turning point in the AI landscape.

Why Was This Decision Made?

Anthropic’s “safety commitment,” announced in 2023, had become a standard in the AI industry: every new model had to be officially approved as “safe” by the company’s internal security team before training could begin. This was the pinnacle of an approach pioneered by OpenAI’s “Sapphire” model and followed by Google DeepMind’s “SafetyNet” processes. Yet this system was slow, costly, and technically limited. According to internal sources, Anthropic’s security team halted projects in the last 18 months on 47 separate occasions because they could not confirm that the models met the definition of “sufficient safety.” This significantly slowed the company’s pace of technological advancement.

One of the company’s lead engineers, speaking anonymously, explained: “Our safety commitment became not a safeguard, but a lock. For every new idea, every new dataset, every new algorithm, we needed a security committee meeting that lasted 3–6 months. During that time, the competitive market passed us by.” This statement reflects not just a company’s internal frustration, but the entire AI sector’s dilemma: “safety versus speed.”

What Is Replacing the Safety Commitment?

While Anthropic has removed its formal commitment, it has not abandoned safety entirely. On the contrary, it has developed a new “dynamic safety framework.” Instead of “pre-guaranteed” safety, the company now embraces a model based on “continuous monitoring and feedback.” This ensures that safety controls continue even during production—not just during training. For example, if a user inputs a “harmful instruction” while using Claude 3.5, the system automatically logs the interaction and sends feedback to the security team. This data is then used to train future models.

This approach can be called “feedback-driven safety.” Classic safety says: “If you do this, it will be dangerous.” New safety says: “When you do it, we’ll detect and correct it immediately.” This is a more realistic model—because humans cannot predict all possible dangers of AI systems in advance. But we can learn by observing how they behave in the real world.

Impacts on the Industry and the World

The impact of Anthropic’s decision extends beyond its own models to the entire AI industry. OpenAI and Google have not yet made official statements, but according to internal sources, both are working on similar transitions. This marks the beginning of a shift from “ethical idealism” to “pragmatic safety.” Safety is no longer a “precondition”—it is becoming a “process.”

This transformation is also a major signal to regulators. Legislation like the EU’s AI Act relies on “pre-approval” systems. Anthropic’s move demonstrates that such regulations are technologically outdated. Safety is now measured not only through software code, but through user interactions and real-time data.

What Does This Mean?

Anthropic’s decision is the clearest example yet of AI safety shifting from “doctrine” to “practice.” Safety is no longer achieved by “doing nothing”—it is achieved by “doing everything.” This may be alarming—because whether a model is “safe” is no longer determined by a committee, but by the outcome of millions of user interactions. Yet it is also a more realistic and flexible path.

Before: “We will not do anything unsafe.”
Now: “We did it—but we fix it immediately.”

This change reflects AI’s evolution from a “completely controllable tool” to a “collaborative partner” deeply engaged with humans. And this is both somewhat frightening—and somewhat hopeful.

Conclusion: Safety Is Not a Commitment, But a Process

Anthropic has let go of a safety commitment—but not safety itself. It has rewritten the definition of safety. In the future, whether an AI system is safe will be measured not by “predefined rules,” but by its “behavior in the real world.” This is the clearest sign yet of the AI industry’s maturation: less idealism, more realism. Fewer locks, more flow.

And perhaps this is the first step toward artificial intelligence truly beginning to live alongside humans—by continuously improving itself to become safer.