The AI Scientist?

Speaker: Dr Claire Malone, MInstP

This talk examines the transformative role of generative AI in scientific research. As artificial intelligence tools such as ChatGPT and other large language models gain popularity, they are increasingly integrated into research processes. This trend brings both opportunities and challenges. On the one hand, AI is revolutionising methods of data analysis and scientific workflows across fields like particle physics, enabling new approaches to solving complex scientific problems. On the other hand, the use of generative AI frequently raises concerns around reproducibility and the transparency of AI models - often referred to as the "black box" issue. This has serious implications for academic integrity and public trust in science. These challenges highlight the importance of explainable AI and responsible AI integration into research. The talk also discusses the growing need for AI literacy among researchers, addressing both technical skills and ethical considerations, to ensure AI is used effectively and responsibly in scientific inquiry. By viewing AI as a powerful tool, rather than an infallible solution, this talk encourages researchers to critically engage with AI while maintaining rigor and trust in the scientific process.
 

Venue Information

The lecture will take place on Wednesday 04 December at 16:30. There will be free biscuits and cake from 16:00. The lecture will take place at the University of Leeds in the Sir William Henry Bragg Building, Lecture Theatre Gr.25.