ChatGPT and DALL-E: Sell Your Creative Thinking with AI - How to Address AI Bias in Creative Work

The video tutorial discusses strategies to counteract bias in AI outputs. It emphasizes designing detailed prompts, critically evaluating AI-generated content, and understanding the assumptions made by AI. The importance of researching reported biases and providing feedback to developers is highlighted. Diversity training and resources are recommended to better recognize bias. The tutorial concludes with strategies to address AI bias, stressing the need for awareness and vigilance in correcting biased outputs.

In what ways can users provide feedback to developers regarding biased outputs?

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Why is it important to understand the biases present in the data used to train AI systems?

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