Human-AI Collaboration in Scientific Research: Augmenting Discovery and Innovation
Abstract
The integration of AI tools in scientific research has accelerated discovery across multiple disciplines, from drug discovery to climate modeling. This paper investigates how human-AI collaboration enhances research productivity, automates data analysis, and generates novel hypotheses. We explore the effectiveness of AI-driven literature reviews, automated experiment design, and large-scale data interpretation in diverse fields such as physics, medicine, and materials science. Challenges related to bias, reproducibility, and AI interpretability are also discussed, along with recommendations for maximizing AI’s potential in research environments.
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