Summary
November 5, 2026 | 12:30 PM – 2:00 PM ET
AI-enabled research tools are rapidly changing how scientists search the literature, synthesize information, draft research materials, and manage scholarly workflows. For many researchers, the challenge is no longer simply whether to use AI, but how to determine which tools are appropriate for different tasks, how to evaluate the quality of AI-generated outputs, and how to use these technologies responsibly while preserving accuracy, transparency, and scholarly judgment.
This program will provide a practical introduction to AI tools designed to support literature review, writing, discovery, and research productivity. Through short presentations and demonstrations, participants will explore how AI can help researchers navigate large bodies of scientific information, identify relevant sources, summarize research landscapes, generate insights, and streamline aspects of the research process. The session will also address practical considerations for responsible adoption, including appropriate use cases, limitations, source transparency, confidentiality, citation practices, and the continued importance of researcher oversight.
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