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Unraveling Neural Networks
This chapter explores the complexities and challenges of neural networks in AI, focusing on their historical advancements and difficulties in interpreting their decision-making processes. It highlights the tension between the effectiveness of these 'black box' models and the need for transparency, particularly in light of regulatory demands for algorithmic explanations.