White Paper: Addressing Regulator's Concerns Regarding Neural Networks and GDPR Compliance Introduction The rise of neural networks (NNs) has revolutionized the way companies personalize user experiences. However, the complexity and opacity of NNs raise concerns about their compliance with the European Union's General Data Protection Regulation (GDPR). This white paper explores the interplay between NNs and GDPR, identifying potential legal issues and proposing adaptations to ensure compliance. 1. Understanding Neural Networks NNs are inspired by the human brain, consisting of interconnected layers of neurons that process and transmit information. The input layer receives data, the hidden layers perform computations, and the output layer generates a result. During training, NNs adjust their connections (weights) to minimize error. 2. Personalization Using Neural Networks Companies utilize NNs to personalize user experiences by analyzing user data, identifying patterns, and predicting preferences. NNs can recommend products, customize content, and tailor advertisements