AI Bias Pt2

If you're working with AI images and want to ensure that your results and images are fair and representative of the world that we live in, which includes marginalized groups such as women, non-binary communities, disabled people, older people, people from religious communities, or races, you need to think a little bit broader. Imagine how diverse the world is, the current world that we live in today. Now imagine how non-diverse the initial outputs from AI image generators are. So if you want to expand and scale your market, keep your customers happy, attract new customers, maintain happy and loyal customers, and show a sense of overall responsibility and corporate social responsibility while ensuring you stay compliant to existing laws and regulations, you will need to prompt differently to ensure your images are unbiased, inclusive, and accurately represent today's world. So here are a few prompting tips. To reduce biases in your outputs. For non-biased gender outputs, for example, you can ask your AI tool, whether it's Claude Design, OpenAI Images, Gemini, Canva, Midjourney, and so on and so forth. You could ask it to give you a group of professionals as an example that includes all genders and groups such as women, men, non-binary people, varied body types and shapes, different ages, religious groups, disabilities, and race. And depending on its first results, you might need to fine-tune the output until you have the level of diversity that you want. Now, it's important to intentionally prompt for diverse image results to reduce AI biases and reduce AI risks, harms, and stereotypes in society.