News Summary

• Artificial-intelligence models can be used for tasks ranging from coding to taking meeting notes.
• There’s no one-size-fits-all strategy for adopting AI policies across research groups.
• Instead, the authors define four lab-group ‘archetypes’ each of which could benefit from using AI during different phases of the research process.
• If yours is a ‘high leverage’ lab, you might prioritize maximizing scientific impact with limited resources.
• A ‘trustworthiness’ group, which is most concerned with reproducibility and transparency, might use AI for code debugging and administrative tasks.
• ‘Data stewardship’ teams prioritize responsible data management and tend to prefer self-hosted AI models for the sake of confidentiality.