ChatGPT and DALL-E: Sell Your Creative Thinking with AI - Examples of Biased AI

The video discusses the prevalence of bias in AI systems, using Amazon's AI hiring tool and facial recognition technology as examples. Amazon's tool showed gender bias due to skewed training data, while facial recognition systems often perform poorly on diverse demographics. The video emphasizes the importance of recognizing and addressing these biases to prevent negative impacts.

What was the main issue with Amazon's AI hiring system?

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How did the training data for Amazon's AI reflect bias?

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What demographic groups were found to be less accurately recognized by facial recognition programs?

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What did the National Institute of Standards and Technology report reveal about facial recognition algorithms?

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Why is it important for users of AI systems to understand bias?

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