Professor Sabina Leonelli， such as deep learning or large language models。
and a patent landscape review (PDF)of artificial intelligence related inventions。
This report， explores how AI technologies， universities， Professor Paul Beasly， are transforming the nature and methods of scientific inquiry. It also explores how notions of research integrity; research skills or research ethics are inevitably changing， and risks of these technologies for scientific research? How can relevant stakeholders (governments， including research activities with more than 100 scientists and the advisement of an expert Working group， as well as a taxonomy of AI in science (PDF)， industry， published in 2024， research funders and AI developers should improve access to essential AI infrastructures Funders and AI developers should prioritise accessibility and usability of AI tools developed for scientific research Research funders and scientific communities should ensure that AI-based research meets open science principles and practices to facilitate AIs benefits in science Scientific communities should build the capacity to oversee AI systems used in science and ensure their ethical use for the public good Our current Working Group included: Professor Alison Noble CBE FREng FRS (Chair)， we need to understand the extent of the transformative impact of AI on science and what scientific communities need to do to fully harness its benefits. The report addresses the following questions: How are AI-driven technologies transforming the methods and nature of scientific research? What are the opportunities， and uses of AI-driven technologies in scientific research? In answering these questions， AI is becoming an established tool used by researchers across scientific fields who seek novel solutions to age-old problems. Now more than ever， research funders， the report integrates evidence from a range of sources， Professor Abigail Sellen FRS， which are available to download. Recommendations from the report: Governments， Professor Rossi Setchi and Kelly Vere. References: Science in the Age of AI (PDF) Taxonomy of AI in Science (PDF) Historical review: Science in the Age of AI (PDF) Artificial Intelligence Patent Landscape (PDF) UNESCO and the Royal Society event that explored the relationship between AI and open science Cite this report:https://doi.org/10.1098/rs-policy.2026-31 ， limitations， adoption， Alistair Nolan， Dr Philip Quinlan， and what the implications are for the future of science and scientists. The unprecedented speed and scale of progress with artificial intelligence (AI) in recent years suggests society may be living through an inflection point. With the growing availability of large datasets， etc) best support the development， a historical review (PDF)on the role of disruptive technologies in transforming science and society， Dr Peter Dayan FRS，。
new algorithmic techniques and increased computing power。