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Type of work: Report

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Full document:
The Royal Society (2024). Science in the age of AI. How artificial intelligence is changing the nature and method of scientific research. London: The Royal Society.

Notes:

Recommendations (p.9-15):

• Governments, 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 AI’s 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

How artificial intelligence is transforming scientific research (p.22):

• AI and methods of scientific research
1. Growing use of deep learning across fields
2. Obtaining insights from unstructured data
3. Large-scale, multi-faceted simulations
4. Expediting information synthesis
5. Addressing complex coding challenges
6. Task automation
• AI and the nature of scientific
1. Computers and labour as foundational AI infrastructures
2. Domination of big data centric research
3. Open vs closed science
4. Challenging notions of transparency and explainability
5. Science as an interdisciplinary endeavour
6. Blending human expertise with AI automation
• AI and access to high-quality data
1. Volume and heterogeneity
2. The role of data institutions
3. Sensitive data sharing