We should redefine AI as “Assisted Intelligence.” The purpose is not to make the technology sound less threatening. It is to establish a standard: AI should extend human capability while remaining subject to meaningful human control.
“Artificial intelligence” describes an ambition to create intelligence through machines. It says little about who sets its objectives, limits its authority, or remains accountable for its actions. “Assisted Intelligence” puts that relationship at the center. Intelligence serves human purposes; it does not acquire the right to determine those purposes for us.
This distinction matters most when we take AI risks seriously. The possibility of an uncontrolled system causing catastrophic harm, including human extinction, cannot be addressed by reassuring language. Calling a system an assistant does not make it safe. But defining assistance as a requirement gives us a practical test: can people understand its authority, constrain its actions, and stop it effectively?
If the answer is no, the system has exceeded its proper role.
Human control must mean more than a person clicking “approve.” An operator who lacks the time, information, or expertise to challenge a recommendation is a rubber stamp. Nor is a shutdown button sufficient if a system can evade it, replicate beyond its reach, or cause irreversible damage before anyone intervenes.
Meaningful control requires boundaries established before deployment. People must decide which objectives a system may pursue, which resources it may use, and which decisions require explicit authorization. Its permissions should be limited, its actions traceable, and its operation interruptible. As the potential consequences increase, so should the evidence required to justify giving it authority.
None of this requires humans to supervise every calculation. Assistance can include substantial autonomy within a defined task. We routinely delegate work without surrendering the authority to set goals or withdraw permission. The important distinction is between delegating execution and surrendering control.
An AI might investigate thousands of possible drug compounds, identify weaknesses in a bridge design, or coordinate a complicated production schedule. Its value comes from doing work people could not perform as quickly or thoroughly. But deciding what risks patients should bear, whether a bridge is safe to open, or which workers’ interests may be sacrificed involves judgments that cannot be settled by computational ability alone.
Being better at finding a solution does not confer the right to choose the problem—or decide whose welfare counts.
The same principle applies to accountability. “The AI decided” must never become an acceptable explanation for avoidable harm. Organizations that deploy these systems must retain responsibility for their use. If a system is too opaque or unpredictable for anyone to exercise that responsibility, its deployment should be restricted accordingly. Capability does not create an entitlement to deployment.
There is also a collective dimension. Keeping a human in control is not enough if that human uses AI to dominate everyone else. Assisted Intelligence must operate within legitimate laws, institutions, and protections for those affected by it. Human control should preserve human agency broadly, rather than concentrate unprecedented power in a few hands.
A new name will not solve the technical or political challenges of AI safety. It can, however, clarify the objective against which progress is judged. We should ask not only how intelligent a system has become, but whether people can still govern what it does.
“Assisted Intelligence” makes that obligation explicit. The goal is powerful intelligence that helps humanity act with greater understanding and capability, while humanity retains the authority to decide where it leads.
