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3 ways to reduce bias in AI with better context

MarTech·@RyanPhelan·2 months ago
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Among all the concerns marketers have when bringing AI into decision-making, there’s one we don’t talk about enough: Are we too quick to assume AI knows what’s going on in our heads when we build models? This stems from a growing worry about introducing bias when building prompts and formatting queries. The bias can stem from not providing context and nuance — the knowledge that lives in our heads, which we call on when we make decisions on our own but forget to consider when working with AI. ## Why is context essential? I could just assume that you know what context is and why we need to provide it as we build our queries. But then you might miss the reasons why I think it’s so important. My points won’t make the same impact, and your understanding could be colored or distorted. The same thing can happen if we trust too much in AI’s ability to think. Context is what we give to our AI model to help it sort, analyze and report results and insights accurately.…

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