Human–AI teams must train together before high-stakes decisions put the partnership to the test.

Stress changes human cognition, so AI systems must adapt how they present information.

The best human–AI teams manage the relationship, not just the technology.

In network science, a dyad is a two-agent group that works together as a unit. Counterintuitively, a dyad has three parts, not two: Partner A, Partner B, and the relationship or agreements between them. A nurse–physician pair in a trauma bay is a dyad. So are the two paramedics working together in an ambulance.

Regardless of the type of dyad (equal partnerships, superior-inferior, flexible), the strength comes from the ability of the two partners to interact clearly and easily. A dyad of two experts who cannot communicate clearly will often lose to a dyad of less-skilled individuals who coordinate effectively.

Most discussions about using AI leave the relationship out. AI is framed as a tool that humans use, or as a system that runs independently and presents results to us. But, as AI systems move from limited tools toward something closer to co-pilots, the relationship changes into a human–AI team: a partnership where each member contributes different strengths.

The highest-performing teams will recognize this and actively manage all parts of the dyad. In this post, we look at three considerations for building human-AI teams that actually work in high-stakes moments.

You Can’t Build a Dyad in the Middle of a Crisis

A critical mistake in human-AI teaming is assuming the partnership will function automatically in high-stakes moments just like........

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