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.
We gebruiken cookies op deze website. Bent u akkoord met het opslaan van cookies voor deze site? JaNeeOns privacybeleid
Privacy & Cookies
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
Laatst geüpdatet: 23 februari 2024 door j.lind
Communicating with Researchers about the Benefits and Risks of AI for Evidence Synthesis (online)
Wanneer
Evenement type
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:
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:
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.
BMI nieuws