Human-AI Collaboration in Scientific Discovery: Accelerating Research with Machine Intelligence

Abstract

The integration of AI in scientific research is transforming the way discoveries are made across fields such as physics, biology, and material science. This paper examines how AI-driven systems assist scientists in hypothesis generation, experiment automation, and data analysis. We present case studies showcasing AI’s role in accelerating drug discovery, climate modeling, and high-energy physics simulations. A hybrid research framework combining human expertise with AI-driven insights is proposed to optimize collaboration. The study also explores ethical concerns, reliability issues, and the evolving role of AI as a scientific partner.