<ul><li>The hardest part of building ethical, effective AI is dealing with human bias that creeps into every stage of development.</li><li>Data is never neutral as it reflects the assumptions, judgments, and behaviors of the people who generate it, leading to biased algorithms.</li><li>Bias is not a problem with the AI model but with human decision-making at scale, emphasizing the need for fairness and accountability in AI development.</li><li>Key considerations for AI builders include starting with diverse teams, interrogating data sources, and designing for ethical impact to address and mitigate human bias.</li></ul>

What Building an AI Product Taught Me About Human Bias

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