Understanding AI Through Brain Insights

This chapter explores the parallels and divergences between human brain functionality and artificial neural networks, emphasizing the limitations of current machine learning practices. It highlights the complexities of supervised, unsupervised, and reinforcement learning, as well as the ethical implications of AI systems that may misinterpret human feedback. The discussion underscores the urgent need for ethical AI development and proactive safety measures as technology advances toward human-level intelligence.