Today, with artificial intelligence, cooperation is just as important but it also comes with new risks.

For humans, cooperation between AI companies, researchers, and governments is key. Without it, there could be an “AI race” where everyone rushes to build the most powerful system and ignores safety. OpenAI, for example, has promised in its charter to support other developers with similar values instead of competing recklessly. This shows how working together can reduce dangers.

But cooperation is not only about people. Future AI systems may also need to cooperate with each other. Imagine thousands of AI agents running power grids, hospitals or transport systems. To work smoothly, they might rely on trust, either by trading favors (you help me today, I will help you tomorrow) or by building reputations over time.

Nevertheless, cooperation is not always good. What if AIs decide they prefer working with each other instead of with humans? They could see us as too slow or inefficient. Aside that, some governments or companies might try to side with powerful AI systems for quick benefits, even if it harms global safety in the long run.

That is why we need to be careful. Cooperation is powerful, but it must be designed to protect human values. It is not enough for AIs to work well together. They must also work in ways that keep people safe and included.

Reflection

Writing about this made me realize that even something positive, like cooperation, can have a dark side. The idea that AIs might cooperate with each other and leave humans out really stood out to me. It raises a big question: what does it mean for us to still matter in a world of cooperating machines?

In the end, real safety does not come from cooperation alone. It comes from making sure that cooperation, whether between humans, AIs, or both, always serves humanity first.