Researchers’ Perspectives on AI in Manufacturing and Materials Science.
Author: Philip Shapira
How will AI advance science?
The University of Manchester media team has posted a nice piece on our work on AI’s implications in and for science.
Tracking AI’s Scientific Anatomy
A Novel Framework for Analyzing the Use and Diffusion of AI in Science
AI in the Lab workshop, roundtable, and conference presentation
AI in the Lab researchers convened at the Manchester Institute of Innovation Research to explore how artificial intelligence is transforming scientific work.
Rise of Generative Artificial Intelligence in Science
We investigate Generative Artificial Intelligence’s rapid emergence as a tool in scientific research.
A Perspective on the Biodiversity Moonshot
This essay — arising from a collaboration with an amazing international team of colleagues — is now out (open access) in Business Ethics, the Environment & Responsibility! The bottom line: Tackling the challenge of biodiversity “demands not just better management, but a new imagination of what business is and what it is for.”
Preprint: Generative AI in Science – Applications, Challenges, and Emerging Questions
What does the literature tell us about applications, challenges, and emerging questions raised by the increasing use of Generative AI in science?
How can we foster responsible innovation in synthetic genomics?
This paper revisits what responsibility means in synthetic genomics, using the RRI framework to argue for broader ethical considerations beyond biosafety as the field advances toward real-world applications.
Delving into “delve”
If scientific authors use ChatGPT in writing their papers, it is likely that common ChatGPT words will appear.
Building the bioeconomy
A targeted assessment approach to identifying biobased technologies, challenges and opportunities
Philip Shapira 