ChatGPT and DALL-E: Sell Your Creative Thinking with AI - Limitation 3: Output Can Be Plagiarized and Biased

The video tutorial discusses the importance of understanding the source of content to avoid infringement issues, especially in the context of deep learning algorithms that may inadvertently produce outputs resembling existing works. It highlights a case involving Getty Images to illustrate potential pitfalls. The tutorial advises using plagiarism detectors and reverse image searches to safeguard against plagiarism. It also emphasizes the need to recognize and correct biases in AI systems to prevent perpetuating them.

Why is it important to be aware of bias in AI systems when using them professionally?

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What steps should be taken to correct instances of bias before publishing work?

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