9 Bias and Fairness in Generative AI
Abstract
This chapter explores bias and fairness in generative AI, giving a comprehensive view that explores the deep relationship between artificial intelligence and human biases and what they provoke in the progress and implementation of generative prototypes. It is a thorough analysis of the biases in training data, algorithmic decision-making, and unintended consequences of AI applications, providing real-world examples. Exploration of the deep complications related to bias within generative AI systems and possible solutions will dominate this chapter. We shall try to relate those discussions to what are essentially ethical ...
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