Evolving AI: Balancing Complexity and Reliability

This chapter examines the diverse applications of AI, emphasizing the necessity of selecting appropriate AI systems tailored to specific business needs rather than ad hoc adherence to generative trends. It discusses the importance of deterministic models for reliability, particularly in high-stakes areas like military applications, alongside insights into semi-supervised training techniques and ethical considerations around data ownership. The chapter also highlights the challenges faced by smaller AI entities and the impact of regulatory frameworks on innovation and data rights.