Navigating the Future of AI

This chapter explores the significance of real-time feedback in AI systems, highlighting how agile symbolic approaches can improve learning and accuracy compared to traditional models. It discusses the challenges of developing explainable and trustworthy AI, particularly in light of biases, while emphasizing the potential of neurosymbolic AI to enhance interaction and autonomy. The dialogue reflects on the future of AI technology and its integration into everyday life, as well as the responsibilities of developers to ensure safe and aligned systems.