Testing a scenario from a book I am reading, “Co‑Intelligence” reminded me that bias doesn’t just live in people; it quietly shows up in the systems we build too.
In this example, the AI assumed the assistant was female and the lawyer male. A small moment, but one that reflects a larger truth: technology mirrors the inequalities of the world around us. Even after it’s been a couple of years since the book was published.
I felt frustrated at first. Realizing the fight for fairness now extends to algorithms, and data feels heavy. But when I called it out, the AI apologized, no ego, no defensiveness. Just accountability. And that contrast stayed with me. Because in the human world, calling out bias can still come at a cost. Sometimes, speaking up for fairness means being told to “find another one.”
Machines may inherit our biases, but they also show us what accountability could look like: immediate, humble, open to correction. That gives me hope. Positive psychology reminds us that well‑being grows where fairness and psychological safety exist. Moments like this show both how far we’ve come and how far we still have to go.
If machines can learn fairness when we teach it, maybe we can build systems that both humans and technology can reflect the values we want to live by.
Alignment. Accountability. Courage.