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.

What is a key strategy to counteract AI bias when designing prompts?

• Allowing AI to fill in the blanks

• Providing minimal details

• Describing the desired output in detail

• Ignoring the assumptions made by AI

Why is it important to research reported instances of bias in AI programs?

• To ignore the bias

• To understand the limitations of AI

• To enhance the bias in AI

• To avoid using AI altogether

How can users contribute to improving AI models?

• By providing feedback to developers

• By avoiding AI usage

• By using AI without questioning

• By ignoring biased outputs

What is the purpose of diversity training for AI users?

• To reduce AI usage

• To ignore AI outputs

• To increase bias in AI

• To familiarize users with bias concepts

What is one of the strategies to address bias in AI output?

• Avoiding detailed prompts

• Learning about diversity issues

• Using biased data sets

• Ignoring AI assumptions