Physical Motion and AI Regulation: A Matter of Urgency, Not Futurism
You don’t need a license to ride a bicycle. It’s light, relatively slow, and poses minimal danger to others. But to drive a car? You need a license, insurance, and you must obey traffic laws. If you want to fly a plane, the barriers are even higher. And only a select few are cleared to operate spacecraft.
This layered model of physical motion—from bike to car to airplane to rocket—is a useful metaphor for artificial intelligence regulation.
AI today spans a similar spectrum. Some applications are light and low-risk, like using AI to organize your inbox or improve grammar. But as we move up the chain—autonomous vehicles, predictive policing, LLMs capable of influencing elections, or general-purpose models that can replicate, deceive, or act independently—the potential for harm increases dramatically.
We’re entering an era where AI mishaps or misuse could be as catastrophic as nuclear weapons. The threat is not theoretical. It's already here. We’ve seen how pre-ChatGPT social media platforms like Facebook facilitated massive political polarization, disinformation, and even violence. That was before AI could convincingly mimic a human. Now, AI can do more than just shape discourse—it can impersonate, manipulate, and potentially act autonomously.
The idea that we can "figure it out later" is a dangerous illusion. The pace of AI development is outstripping our institutional capacity to respond.
That’s why AI regulation must be tiered and robust, just like the licensing and oversight regimes for transportation. Open-source experimentation? Maybe like riding a bike—broadly permitted with minimal oversight. Mid-level applications with real-world consequences? More like cars—licensed, insured, and regulated. Foundation models and autonomous agents with capabilities akin to nation-state power or influence? These are the rockets. And we need to treat them with that level of seriousness.
But regulation can’t work in isolation. A single nation cannot set guardrails for a technology that crosses borders and evolves daily. Just as nuclear nonproliferation required global coordination, AI safety demands a global consensus. The U.S. and China—despite rivalry—must find common ground on AI safety standards, because failure to do so risks not only accidents but deliberate misuse that could spiral out of control. The United Nations, or a new AI-specific body, may be needed to monitor, enforce, and evolve these standards.
The leading AI companies of the world, along with the leading robotics firms, must not wait for governments to catch up. They should initiate a shared, transparent AI safety framework—one that includes open auditing, incident reporting, and collaborative model alignment. Competitive advantage must not come at the cost of existential risk.
AI is not a gadget. It is a force—one that, if unmanaged, could destabilize economies, democracies, and the human condition itself.
The urgency isn’t theoretical or decades away. The emergency is now. And we need the moral imagination, political will, and technical cooperation to meet it—before the speed of innovation outruns our collective capacity to steer.
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— Paramendra Kumar Bhagat (@paramendra) June 16, 2025
You don’t need a license to ride a bike.
But to drive a car? You need a license, insurance, and must follow rules.
To fly a plane? Much harder.
A rocket? Only a rare few.
Bikes, cars, planes, rockets.
A perfect metaphor for AI regulation. 🧵 @CodeByPoonam @OpenAI
Physical Motion and AI Regulation: A Matter of Urgency, Not Futurism https://t.co/qlekqiim7f
— Paramendra Kumar Bhagat (@paramendra) June 16, 2025
