AI Is Learning Right From Wrong… And Women Are Barely in the Room

Somewhere right now, a small group of people is in a room deciding what an AI system should consider fair. What it should flag as harmful. What tradeoffs should it make when two values conflict and there is no clean answer? Those decisions will shape hiring algorithms, medical triage tools, content moderation systems, and the assistants millions of people will talk to every day.

Statistically, the odds that a woman is at that table are low - and that should concern all of us, not just women in tech.

The Numbers Behind the Silence

Women make up roughly a quarter of the global AI workforce and less than 15 percent of senior AI executive roles — the positions where design priorities and ethical trade-offs are actually decided, not just implemented. Only 14 percent of AI research papers have a female first author, meaning the foundational research shaping how these systems are built is overwhelmingly authored by men.

This is not a pipeline problem that will fix itself over time. It is a design problem unfolding in real time, with compounding consequences. Research from McKinsey has found that AI systems built by gender-diverse teams produce meaningfully fewer bias-related errors than those built by homogenous ones. The absence of women in these rooms is not a fairness issue alone — it is a quality issue. The technology is measurably worse for it.

What Women Actually Bring to the Table

This is where I want to be precise, because I am not interested in vague, feel-good claims that women are “naturally better” leaders. I am interested in what the research actually shows.

A landmark meta-analysis by researcher Alice Eagly and colleagues, examining decades of leadership studies, found that women leaders consistently score higher on transformational leadership — the style built on inspiring, developing, and genuinely attending to the people you lead — while also engaging more consistently in fair, contingent reward behavior. Male leaders, by contrast, scored higher on the leadership dimensions most associated with weaker organizational outcomes: passive management by exception, and hands-off, laissez-faire leadership.

Other research backs this pattern from a different angle: women leaders tend to favor collaborative, consensus-building influence tactics — listening, sharing power, building genuine buy-in — over the more directive, command-based tactics more commonly used by men. And when the Pew Research Center asked Americans directly, majorities said they believe women leaders do a better job, particularly in compassion and empathy, in both politics and business.

None of this means every woman leads this way, or that no man does. It means that at the population level, the leadership qualities most urgently needed at the table where AI ethics are being decided — empathy, collaboration, genuine attentiveness to how a decision will land on the people affected by it — are qualities the research shows women bring in disproportionate measure. Leaving women out of that room is not a neutral omission. It is a design flaw with a body count we have not yet finished counting.

What It Actually Takes to Get to the Table

Knowing this does not make it simple. Getting into rooms that were not built for you and, in many cases, built to run more smoothly without you, requires something specific — and I do not think it is what most career advice tells women it is.

It is not a louder pitch. It is no longer a resume. It is not finally feeling confident enough, as though confidence were a threshold you cross once and then keep.

It is the willingness to claim your voice in a room before you feel fully ready to — because readiness, for most women, has been quietly redefined as a moving target that recedes every time you get close. It is the courage to take bold, visible action instead of waiting for permission that was never going to be offered. And underneath both of those, it is being genuinely grounded in your own authentic source of leadership — not the performed version built to be palatable in rooms designed by someone else, but the version that knows what she knows and leads from it anyway.

The rooms where AI is being taught right from wrong need women in them. Getting into that room starts with a woman who has stopped waiting for permission to trust what she already knows.

Why This Is the Work I Do

This is the exact threshold I help women cross. Not confidence as performance, but the deeper, embodied excavation that lets a woman trust her own knowing steadily enough to walk into rooms that were not built with her in mind — and lead in them from strength instead of apology.

The future of AI, and the future of leadership more broadly, is being decided right now by whoever is willing to be in the room. I want more women in those rooms. Not performing readiness. Genuinely, sustainably grounded in it.

If you sense you are meant to be at tables you have not yet claimed a seat at — in AI, in leadership, in whatever room your work is asking you to walk into next — I would love to talk with you about what that could look like.

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And visit theuprisingco.com to learn more

The table is being set right now. I would love to help you claim your seat at it.