Integrating Human and Artificial Intelligence in Research

The field of artificial intelligence (AI) is increasingly being integrated with human capabilities to advance research in various domains. Recent developments suggest a growing trend towards collaboration between humans and AI systems, with a focus on augmenting human capabilities and improving the efficiency of research processes. This integration is being explored in multiple areas, including text comprehension and production, experimental design, and data analysis. Notable papers in this area include: the Text Production and Comprehension by Human and Artificial Intelligence report, which highlights the potential of large language models to inform our understanding of human language processing and offer insights into human-AI collaboration. The Epitome platform is also noteworthy, as it provides a comprehensive experimental solution for integrating AI and social science, enabling researchers to design and run complex experimental scenarios and investigate the social impacts of AI. The AI-native experimental laboratory for autonomous biomolecular engineering presents a significant advancement in autonomous scientific research, demonstrating the ability to conduct complex experiments without human intervention and optimize experimental performance to match state-of-the-art results.

Sources

Text Production and Comprehension by Human and Artificial Intelligence: Interdisciplinary Workshop Report

A collaborative digital twin built on FAIR data and compute infrastructure

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration

AI4Research: A Survey of Artificial Intelligence for Scientific Research

An AI-native experimental laboratory for autonomous biomolecular engineering

Built with on top of