AI Isn’t Biased Until We Build It That Way. Here’s How to Fix That.
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AI is screening job candidates, approving loans, diagnosing illnesses; it’s shaping decisions that affect real lives every single day. But, the question that needs to be asked: who’s making sure AI plays fair?
Right now, systems are being built faster than ethics can catch up. Algorithms are replicating bias, spreading misinformation, and making decisions we don’t fully understand. When 48% of workers fear AI misuse but only 30% know their company even has ethics guidelines, something’s broken.
AI doesn’t need to be feared, it needs to be governed. And that’s where leaders like you come in. It doesn’t matter if you’re designing systems, managing teams, or setting policy, your voice helps determine whether AI becomes a force for equity or exclusion.
Start where you are: question bias, verify output, protect data, and push for transparency. Because AI won’t fix itself, it learns from us.
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I just finished my PhD research that shows that humans have "automation bias" and that they believe (inaccurately) that what ai tells us is true, but my research showed that if you inoculate them with small doses of understanding that there is indeed bias in AI systems (like this article does) and then give them tools to navigate that bias, they will be more effective at understanding and appropriately trusting AI systems.
Yes! Knowledge is power! Be curious! Ask questions! It's up to each of us to demand that AI systems operate in an ethical and responsible way.