Action Learning offers the ethical AI field something it urgently needs: a rigorous, supported methodology for learning in the presence of genuine complexity.

Its core elements:

L = P + Q: Learning equals programmed knowledge plus questioning insight. In ethical AI, Q is the scarce resource.

The Action Learning Set:  a small, diverse group working on real problems, asking questions of each other, taking action, and learning together over time.

The discipline of questioning : asking rather than advising, surface assumptions rather than offering solutions, staying genuinely curious in the face of complexity.

In a field that moves as fast as AI, and raises ethical questions as profound as any technology in human history, the capacity to ask better questions is not a luxury. It is a necessity.

One mind cannot see it all. Action Learning is the practice of seeing together.

Ready to go deeper?

The Change Management series has equipped you with practical frameworks for driving ethical AI transformation in organisations. The natural next step is to ask the harder questions: whose interests do AI systems serve, whose experiences do they encode, and what would have to change for AI to be genuinely responsible?

The Critical Theory and Responsible AI series explores these questions through four of the most powerful intellectual traditions of the twentieth century: Critical Race Theory, Feminist Theory, Marxist Theory, and Postmodern Theory.

Explore the series: lms.ethossophia.org/critical-theory-and-ai