Before we can understand how to change something, we need to understand why things stay the same.

Kurt Lewin, a social psychologist writing in the 1940s, made a deceptively simple observation: organisations are not static. They are in a state of constant tension between forces pushing for change and forces resisting it. When these forces are balanced, the organisation appears stable: but that stability is not the absence of pressure. It is a kind of equilibrium, held in place by opposing forces of equal strength.

Lewin called this Force Field Analysis.
On one side: driving forces: new regulations, technological pressure, stakeholder expectations, ethical imperatives.
On the other: restraining forces: inertia, fear, sunk costs, cultural resistance, lack of knowledge.

When we try to introduce ethical AI into an organisation, we are not walking into a blank space. We are walking into a field of forces already in tension. The people in that organisation have existing habits, existing beliefs about technology, existing relationships with data and with power. Some will welcome ethical AI as long overdue. Others will experience it as a threat: to their workflows, their authority, their assumptions about efficiency.

This is not a moral failure. It is human. Change is uncomfortable because stability: even imperfect stability: feels safe.

Lewin’s insight was that to change an organisation, you do not simply push harder. You must first understand the forces at play, then work strategically to shift the equilibrium.

Reflection question:
In your own organisation or context, what forces are currently driving ethical AI adoption? What forces are resisting it?