Communicating with Researchers about the Benefits and Risks of AI for Evidence Synthesis (online)

It seems that everyone is talking about AI and what it can do, can’t do, and seems to do but doesn’t really. If you work on systematic reviews, you may be especially interested in the answers to these questions that go to the heart of how librarians collaborate with researchers on reviews:

  • Can AI tools automate and expedite systematic reviews and other types of evidence synthesis without compromising the rigor and reproducibility that are the hallmark of systematic reviews?
  • How do you critically appraise a study that uses AI?
  • How do you have informed conversations with and advise researchers on the use of AI in reviews in this time of uncertainty and rapid change?

Gregory Laynor, a systematic review expert who has been studying the impact of AI on evidence synthesis, will be your guide to having conversations with research teams about the capabilities of current AI tools and the risks they present for systematic review rigor and reproducibility. You’ll learn:

  • the questions to ask researchers who are interested in using AI for evidence synthesis
  • how to report the use of AI in an evidence synthesis project
  • what tools are available for critically appraising studies conducted with AI methods.

Through interactive scenarios, you will practice examining and communicating with research teams about the benefits and risks of AI.

You’ll leave the webinar with new knowledge and increased confidence in your ability to discuss AI with researchers, and you’ll join the company of librarians able to build on their expertise in the rigor and reproducibility in systematic reviews to help shape the future of AI.

More information.