Sam Altman Argues Some AI Harms Are Worth Accepting to Preserve Broad Access
In a new POLITICO interview, OpenAI’s CEO distinguishes limits on advanced-model development from restrictions on who can use AI.
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In a new POLITICO interview, OpenAI’s CEO distinguishes limits on advanced-model development from restrictions on who can use AI.
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In a POLITICO interview published October 4, OpenAI CEO Sam Altman argued that AI policy should prevent catastrophic risks without making the absence of all misuse a condition for public access. He expects beneficial uses to exceed harms by orders of magnitude, and says broad access matters partly because it avoids concentrating control over AI’s benefits in one lab. Altman also supports industry cooperation to slow frontier-model development, distinguishing restraint on building more powerful systems from restrictions on how people use AI.
Altman specifically named hacks, misuse and scams as harms he would not try to eliminate at the cost of AI’s benefits.
He characterized the restrictive position he disagrees with as leaving powerful AI with one San Francisco lab; this was not a direct statement from Dario Amodei.
Altman’s support for slowing frontier-model development coexists with his opposition to tightly limiting public access.
OpenAI CEO Sam Altman is arguing that preventing every harmful use of AI would come at too high a price: denying people its benefits and control over how they use it. In an interview with POLITICO’s Decoded published October 4, he called for accepting some harms while drawing a firmer regulatory line around catastrophic risks.
Altman’s proposed approach starts by identifying the “really catastrophic risks” and protecting against them. Outside that boundary, he wants people to retain room to experiment with beneficial uses. He supports tough regulation in some areas, but favors lighter-touch rules where restrictions would limit access to increasingly capable tools.
The distinction is between guarding against the gravest dangers and trying to guarantee that nothing goes wrong. In comments quoted by SiliconANGLE, Altman rejected a trade that would eliminate major hacks, misuse, scams and other harmful outcomes at the expense of AI’s benefits. Those examples make his position more concrete than a general appeal for less regulation.
His justification is a prediction about what people will do with access, not a claim that misuse disappears. He expects beneficial activity to outweigh harmful activity by a large margin. That expected balance is the basis for his willingness to accept some bad outcomes rather than make their complete prevention the condition for access.
Because I think people will do tremendously – orders of magnitude more – good stuff than bad stuff.
Sam Altman, speaking to POLITICO’s Decoded, as quoted by SiliconANGLE
Asked about his differences with Anthropic CEO Dario Amodei, Altman said there was “a lot of daylight” between them. He described a position he understands but rejects: powerful AI remaining with a single San Francisco lab that ensures nothing bad happens and decides how to distribute the benefits.
He called that a “completely unacceptable trade-off.” This was Altman’s characterization of the restrictive position, not a direct statement from Amodei. His objection concerns who holds authority as well as how much harm is prevented: he wants people to remain in control, rather than have AI’s benefits distributed by a gatekeeper.
Despite that disagreement, Altman said he agrees with Amodei’s call for the industry to cooperate on slowing development of more advanced frontier models—the most capable systems being built. His support for that restraint sits alongside, rather than replaces, his argument for broad access.
The two positions address different choices. One concerns the pace at which labs build more powerful systems; the other concerns restrictions on people using AI. Altman’s interview makes clear that supporting a slowdown does not, in his view, require accepting tightly concentrated control over the technology’s uses and benefits.
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