A Historical Perspective on Artificial Intelligence in Applied Life Sciences

Abstract

This chapter explores the transformative impact of Artificial Intelligence (AI) on applied life sciences, with a focus on environmental science. It begins by tracing the theoretical foundations of AI from early pioneers like Alan Turing and John McCarthy, and then discusses its evolution through the development of expert systems and machine learning techniques. The chapter highlights AI's significant contributions to environmental monitoring, climate change prediction, and biodiversity conservation, showcasing how AI enhances our understanding and management of complex systems. It also examines the integration of AI with satellite data and sensor networks to address environmental challenges. Concluding with future directions, the chapter addresses emerging trends and ethical considerations, emphasizing AI's role in supporting sustainable development goals. This overview provides a foundational context for understanding AI's role in life sciences and sets the stage for exploring its broader applications in subsequent chapters.