Artificial intelligence might reshape the approach to science, from generating concepts and hypotheses to designing experiments, analysing data and publishing findings. However, it might also introduce risks around data integrity, reproducibility, accountability and bias. Here we provide practical guidance on how to responsibly integrate artificial intelligence into the research pipeline.
- Bernd Rolauffs
- Ryuji Kato
- Mary C. Walsh
