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Advancements and Ethics in AI and Materials Science
This chapter examines DeepMind's pioneering work in discovering new materials through deep learning, particularly their innovative approach with the Graph Networks for Materials Exploration (GNoME). It also addresses the environmental implications of AI tasks and delves into critical ethical considerations in generative AI, especially within healthcare. Furthermore, it explores the nuances of AI model performance, privacy risks, and recent significant research on data extraction from large language models.