Beyond Alignment: Why AI May Need the Wisdom of Civilizations

For most of its history, artificial intelligence has chased one thing: capability. Can a machine recognize a picture? Understand a sentence? Write code? Reason? Use tools? Act on its own?

One by one, the answer has become yes. And that raises a much harder question.

What should an intelligent machine be allowed to do, once it can act in the world?

Engineering alone cannot answer that. It is a question about values, authority, and trust. And it is the question Atmakosh was founded to work on.

What Anthropic did

In May 2026, Anthropic, the company behind the Claude models, said it had begun a series of conversations about what it calls the “moral formation” of AI systems. It met with scholars, clergy, philosophers, and ethicists from more than fifteen religious and cultural traditions [1].

One of those thinkers was Swami Sarvapriyananda, a monk of the Ramakrishna Order and a well-known teacher of Advaita Vedanta. He has spoken publicly about the invitation, while noting that a non-disclosure agreement keeps him from sharing details [2].

In India, the headline was “a Hindu monk advised an AI company.” That is true, but it misses the point.

Anthropic is not trying to make its AI Hindu, or Christian, or Buddhist, or anything else. The company says so directly:

Instead, Anthropic wants its systems to engage religious, secular, and political views with more depth. That distinction is the whole story.

The real challenge is not how to give a machine values. It is how a machine should behave in a world that has many legitimate sets of values. At Atmakosh we call the answer Civilizational Intelligence.

Many traditions, no single rulebook

Humanity has never agreed on one complete theory of right and wrong.

• Indian traditions gave us Dharma (right duty), Ahimsa (non-harm), and Aparigraha (non-grasping).
• Buddhist thought explored intention, interdependence, and downstream consequences.
• Confucian thought emphasized relationships, roles, and character.
• Abrahamic faiths developed ideas of duty, justice, stewardship, and dignity.
• Western constitutional thought gave us rights, due process, and limits on power.
• Indigenous, African, humanist, and secular traditions carry their own rich ideas of responsibility and community.

These traditions often agree. Sometimes they disagree. And sometimes the disagreement is the most useful information of all.

A system used around the world might, in one day, help a doctor in Mumbai, a banker in New York, a teacher in Nairobi, and a family in São Paulo. Whose morals should it run on? “Ours” is not a serious answer. Neither is mashing every tradition into a bland average.

Civilizational Intelligence starts by refusing to pretend the differences aren't there.

Three questions every acting machine must answer

Here is the simplest way to see the gap. Capability, ethics, and governance each ask a different question.

This may become the defining rule of the agentic era:

An AI may be able to move a hundred million dollars. That does not mean it is authorized to. It may be able to change live software. That does not mean it may deploy the change. It may decide that ignoring a human instruction would produce a “better” result. That does not give it the authority to override the human.

Civilizational Intelligence adds a few more questions on top: Under whose authority? By which principles? Who bears the consequences? Who can step in? What record will survive afterward? These sound philosophical. They are really questions about how a system is built.

Disagreement is a signal, not a bug

Imagine an AI agent about to recommend a large financial move. Looked at through different lenses, it might get different verdicts:

• A rights lens says the deal is fair and beneficial.
• A harm lens flags an unfair spread of risk.
• An authority lens asks whether the agent is even allowed to decide this.
• A duty lens says it is technically permitted but breaks a promise to stakeholders.

The wrong move is to average those into a single “ethics score” and proceed. The right move is to treat the disagreement itself as information.

This is why Civilizational Intelligence is plural, not relativist. Plural means a big decision can be looked at through more than one legitimate lens. It does not mean anything goes. Hard limits still apply.

Wisdom is necessary. Wisdom is not governance.

Teaching an AI about Vedanta, Aristotle, Buddhist ethics, Islamic philosophy, Christian theology, Confucian thought, or constitutional law can make its reasoning richer. Good.

But civilization learned something else the hard way: good intentions are not enough to keep power in check.

Societies did not just teach kings to be virtuous. They built courts, constitutions, audits, appeals, approval authorities, and records. Power needs limits that sit outside the person holding it. The same will be true for AI.

Research backs up the gap. A 2026 review of the field found that, apart from Singapore's framework for agentic AI released in January 2026, no dedicated governance framework for AI agents yet exists, and neither the EU nor the US had introduced one [3]. Moral formation is moving faster than institutional formation.

Don't let one AI be judge, jury, and actor

Anthropic has also described experiments with an external mechanism that its model can call on to remind itself of its commitments while working [1]. Think of it as a conscience sitting close to the moment of action. That is a promising direction.

At Atmakosh we come at the same moment from the other side. Our question is: what institutions should surround an AI agent before its decisions turn into consequences?

A language model is good at reasoning, weighing arguments, and spotting tensions. But the model itself should not be, all at once, the one who acts, the one who sets the rules, the one who judges, the one who approves, and the one who audits. Human societies learned not to concentrate those roles in one person. AI architecture should learn the same lesson.

Four gates before anything irreversible happens

Our design rule is simple: reasoning can be probabilistic; authority cannot be ambiguous. Before an agent does anything that matters, its proposed action passes through four gates.

These gates do not replace ethical reasoning. They put it to work. And they add something even a very wise AI cannot give itself: legitimacy.

AI is becoming a participant, not just a tool

This matters more every month, because AI is shifting from answering to acting.

Soon, whole populations of AI agents may negotiate, buy services, write and deploy software, move money, and coordinate with each other around the clock. At that point we are not building clever tools. We are building societies of intelligent actors. And societies need more than intelligence. They need governance.

Civilization is a training set too

AI companies have enormous amounts of data about what people have said. Civilization holds something rarer: thousands of years of experience about what happens when intelligent actors gain power. Some of those experiments worked. Many failed badly.

The point is not to romanticize any tradition. Every civilization has contradictions and injustices in its history. The point is to learn from humanity's long attempt to answer one recurring question:

How do you exercise power without destroying the society that granted it?

India has a great deal to offer here: deep traditions on consciousness, duty, non-harm, attachment, and the nature of the self. So do China, Africa, the Islamic world, Jewish and Christian thought, Buddhism, indigenous traditions, the European Enlightenment, and modern science and law. No one owns the full answer. An AI that works across all of these cultures should be able to recognize that.

Not everyone is convinced. Some critics have called Anthropic's religious outreach “ethics washing” [2], [4]. We take no side in that argument here, except to note that it proves our point: if good intentions were enough, nobody would need to ask whether they are sincere. Institutions exist so that trust does not have to depend on sincerity.

The next frontier

The first era of AI asked: can machines be intelligent? The alignment era asked: can intelligent machines follow human intentions and values? The agentic era asks a third question: how should increasingly autonomous machines exercise power inside human civilization?

Answering it takes more than alignment. AI needs ethics, safety, and technical alignment. But it will also need institutions: limits on authority, evidence, checks and balances, escalation paths, ways to resolve disagreement, and, above all, humans who stay in charge.

Anthropic's conversations with Swami Sarvapriyananda and many other wisdom traditions deserve attention because they point toward one realization: the future of human values cannot be decided entirely inside a machine-learning lab.

We should bring humanity's accumulated wisdom into the AI era. And then go one step further.