BLUE STAR DONATIONS: DIMINISHING BIAS IN AI

One way to diminish bias in AI is to ensure that the data used to train the AI model is diverse and representative of all populations. Additionally, incorporating input and feedback from a diverse group of individuals throughout the development process can help identify and address any potential biases. It is also important to regularly test and evaluate the AI system for bias and make necessary adjustments. Finally, promoting transparency and accountability in AI development and use can help prevent and address potential biases.