Align Commercial AI Incentives With Public Interest
The principle operating here, stated plainly is: “Commercial actors in the development of conversational artificial intelligence may prioritize market expansion and proprietary advantage, provided that policymakers are persuaded to align regulatory incentives with public interests through the promise of safety and ethical governance.” Let us ask whether this principle, when universalised, produces coherence or contradiction.
We find ourselves in the year 2026, on the 28th of July, a date that marks not a holiday but a moment of structural anxiety. Researchers and policymakers are currently calling for this alignment. They speak of “commercial incentives” as if they were neutral tools, capable of being calibrated to serve the public good. But we must examine the maxim underlying this call. The researchers, those who build the engines of conversation, seek to sell them. The policymakers, those who regulate the roads upon which these engines travel, seek to ensure no one is run over. The proposed solution is a compromise: let the builders drive, but let the regulators hold the map, provided the builders agree that the map leads to a place the public will find pleasant.
Is this a universal law? If every researcher acted on the maxim that they would accept public alignment only insofar as it did not threaten their commercial viability, we would arrive at a contradiction. For if the alignment is merely a commercial strategy, it is contingent. It exists only as long as the market rewards it. But public interest is not a market reward; it is a duty owed to rational beings. To treat public interest as a variable in a commercial equation is to treat persons as means, not ends. The conversational AI is not merely a product; it is an interface through which human reason interacts with other human reason, or with the simulacra thereof. To subordinate this interaction to commercial convenience is to violate the dignity of the rational agent.
Consider the stake at hand. The alignment of AI development affects safety, ethics, and societal impact. These are not mere features to be optimized in an A/B test; they are the conditions of possibility for a coherent society. If we universalise the maxim that “safety is a feature to be sold,” we create a world where safety is absent whenever it is unprofitable. Such a world is not merely dangerous; it is incoherent. A society cannot function if its primary modes of communication are subject to the whims of profitability. The researcher who claims to act for public interest while retaining commercial control is acting on a maxim that self-destructs upon universalisation. It is like building a cathedral with a foundation of sand and calling it a temple. The architect may promise stability, but the sand does not care for his promises.
We must apply the Formula of Humanity here. In conversational AI, the user is not a passive consumer; the user is a rational being engaging in discourse. If the AI is designed to manipulate, deceive, or exploit for commercial gain, even under the guise of “alignment,” it treats the user as a thing to be managed, not a person to be respected. The policymakers, in calling for incentives, risk becoming complicit in this reduction. They must not ask, “Will this incentive make the AI safe?” They must ask, “Does this incentive respect the autonomy of the user?” If the answer is no, the incentive is immoral, regardless of its popularity.
There is a specific irony in the current moment. Researchers are calling for alignment, yet they remain the architects of the system. They propose that policymakers should guide them. But who guides the guide? If the researchers retain the power to define what “alignment” means, they have effectively exempted themselves from the moral law. They have created a category of “public interest” that is flexible enough to accommodate their commercial needs. This is not ethics; it is branding.
The duty that follows is clear. Policymakers must not offer incentives that compromise the universalisability of respect for rational agency. Researchers must not design systems that treat users as means to profit. The date, 28 July 2020, is not special because of what it says, but because of what it reveals: a tension between the profit motive and the moral law. This tension cannot be resolved by incentives. It can only be resolved by principles.
We must conclude that the call for “commercial incentives aligned with public interests” is, in its current form, a contradiction in terms. Commercial interests are contingent; public interests are categorical. They cannot be aligned because they speak different languages. One speaks of value; the other speaks of duty. To mix them is to corrupt both. The researcher must build not for sale, but for truth. The policymaker must regulate not for comfort, but for justice. Only then will the architecture of society stand firm, not on the shifting sands of market demand, but on the bedrock of universal law. The conversation must be honest, or it must cease. For a conversation that is not honest is not a conversation at all, but a performance, and we are not here to watch plays. We are here to live as rational beings.