Aren't AI Models Biased?
By Amanda Loveland · June 21, 2026
Yes, AI carries bias from its training. For organizations serving diverse communities, here is how to use it without letting it make unfair calls about people.
Organizations that serve diverse communities ask me this question with a particular weight behind it, and they are right to. If a tool carries hidden bias, and you use it in your work, you could end up treating the very people you exist to serve unfairly without ever meaning to. That is not a small concern. For a mission built on dignity and belonging, it is close to the center of everything.
So I will give it to you straight. Yes, these models carry bias. It is inherent in how they are built, because they learn from enormous amounts of human-created material, and they absorb the skews, gaps, and blind spots that come with it. Pretending otherwise would be dishonest, and it would set you up to trust the tool in exactly the places you should be most careful. The bias is real, and the first step is simply refusing to look away from it.
What you do with that fact is where leadership comes in, and it comes down to being deliberate about how, when, and where you let AI into the work. Not every task carries the same stakes. Using a tool to tighten a newsletter draft or brainstorm program names is low risk, and bias there is mostly a quality issue you can catch on review. Using it to help screen job applicants, score scholarship applications, prioritize who receives services, or flag families for follow-up is a completely different matter. The moment AI touches a decision about a person, the stakes change, and a human has to be leading that decision, not following the machine's lead.
That is the line I draw most firmly. Keep people in the decisions that are about people. Let AI inform, summarize, and speed up the groundwork, but do not let it quietly become the thing that decides who gets in, who gets help, or who gets passed over. When you do review AI output in higher-stakes work, read it with a specific question in mind. Who is missing from this? Who is being flattened into a stereotype? Whose situation does not fit the pattern the tool assumes? Those questions are how you catch bias before it reaches a real person.
I want to be careful not to swing to the other extreme either, because fear is its own kind of failure. The answer is not to ban these tools out of anxiety and miss everything they can genuinely do for your capacity. The answer is intention. Used thoughtfully, in the right places, with humans firmly in charge of the decisions that matter, AI can support your work without compromising your values.
The responsibility here is ours, and I mean that as a leadership statement, not a technical one. The model will not develop a conscience. We are the conscience. It falls to us to decide where these tools belong, to stay especially careful anywhere they brush up against people's lives, and to make sure that the final call about a human being is always made by another human being who can be held accountable for it. Used with that intention, AI supports the mission. It should never be the one making the call.
This started as a question I get all the time. See the quick version on the FAQ
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