Why poor AI is skewing representation
AI is a great tool for lifting the burden of repeatable, predictable tasks off humans. Until it isn’t. The fact is, a lot of AI is biased and even unconsciously discriminatory. It’s trained on poor, skewed datasets as the result of traditional biases in the tech industry. That means in the real world, unrepresented groups such as women are losing out on opportunities as a result of decisions being made by AI in finance, HR, healthcare, and more. So what can we do to solve this issue? We’re joined by Professor Anjana Susarla from Michigan State University to find out.
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