Artificial intelligence in scientific discovery: Challenges and opportunities
Machine reading: Successes, challenges and implications for science
Interpretability: Should – and can – we understand the reasoning of machine-learning systems?
Combining collective and machine intelligence at the knowledge frontier
Elicit: Language models as research tools
Democratising artificial intelligence to accelerate scientific discovery
Is there a narrowing of AI research?
Lessons from shortcomings in machine learning for medical imaging