Virtual - Reading the Literature in the Age of AI
AI literature tools are already inside your research workflow. The question is whether you know what they're not showing you.
This is 60-minute virtual session for life sciences researchers who use AI tools to find, synthesize, or evaluate scientific literature — and want to engage with those tools more critically.
We open with a real published case: a Nature Communications paper that passed peer review, generated 22,000 views, and contained hundreds of errors. The correction received almost none of the attention. We'll use it to build four specific failure mechanisms that apply to every AI literature tool you use — and a set of habits that let you catch them before they propagate into your work.
The session ends with a live workshop: run a real research question through two different AI tools, compare what surfaces and what doesn't, and identify the failure mechanisms in action.
No technical background needed. Just bring a research question you'd actually use.
Who this is for: Post-docs, research scientists, PIs, and anyone in life sciences who uses AI tools for literature search, synthesis, or research evaluation.
Hosted by KAMI Think Tank · www.kamithinktank.com
In signing up for this event, you agree to the Terms & Conditions.