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Navigating Bias in AI: Strategies and Implications
This chapter explores methods for mitigating bias in AI models, including development techniques and post-development rules, while introducing the controversial practice of prompt transformation used in Google's Gemini model. It examines how efforts to create an unbiased AI can lead to extreme interpretations and user dissatisfaction, particularly with the influence of tech elites on content moderation. The discussion emphasizes the importance of aligning AI values with user beliefs and the dangers of reinforcing biases in an increasingly personalized digital landscape.