7 Principles For Getting AI Regulation Right

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AI is too important not to regulate, and too important not to regulate well. To keep up momentum, we're sharing some principles for smart regulation.

We've long said AI is too important not to regulate, and too important not to regulate well . But with legislators from Connecticut to California proposing new legal frameworks for AI, what does that mean in practice?

Five current bills in Congress and seven AI regulatory principles lay out a path to not just mitigating risk but embracing opportunity.

Over the past year, the U.S. government has been taking a thoughtful approach to this question in crafting guidelines for AI developers, deployers, and users. Principled commitments have laid out a framework for the sector, while a federal Executive Order has provided detailed guidance for regulators.

First, the government's approach recognizes the incredible potential of AI innovation in science, healthcare, energy, and more, while embracing a practical risk-and-benefit framework for next steps. That's critical for America to continue to be at the forefront of AI.

Second, American leaders are seeing the enormous economic potential of AI. A recent report from McKinsey pegs that global economic impact at between $17 and $25 trillion annually by 2030. (That's an amount comparable to the current U.S. GDP.) To seize that potential, both the White House and the Senate Working Group set out concrete actions the federal government can take today to increase access to AI tools and develop an AI-ready workforce.

And third, these efforts make clear that the private and public sectors need to come together on AI leadership. We're in the midst of a global technology race. And like all technology races, it's a competition that will be won not by the country that invents something first, but by the countries that deploy it best, across all sectors. This includes public and private cyberdefense and national security in the U.S., where successful AI deployment can help reverse the " defender's dilemma ."

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