SciTech & AI Series: Humans + AI: Making Sense of Scientific Papers at Scale

Welcome to Episode 3 of the SciTech Critical Evaluation of Literature and AI Series: “Humans + AI: Making Sense of Scientific Papers at Scale"

AI can read hundreds of scientific papers in minutes, but can it truly understand them? Join experts from the MAPS Scientific & Technical Knowledge Domain to explore how artificial intelligence is reshaping literature review in Medical Affairs.

In this session, you’ll learn what AI can and cannot do with scientific content, uncover practical applications of leading tools like CoPilot and Notebook LM. We’ll also tackle common risks such as hallucinations and lack of context, and share strategies to validate AI outputs while keeping clinical judgment front and center. If you want to harness AI without losing the human touch, this webinar is for you!

Learning Objectives:

1. Understand what AI can—and cannot—do with scientific literature
2. Explain how AI processes papers using NLP and LLMs, and why clinical judgment remains essential.
3. Explore practical applications of leading AI tools
4. Review the capabilities, pros, and cons of tools like CoPilot and Notebook LM for Medical Affairs workflows.
5. Recognize limitations and risks in AI-driven literature review
6. Identify common issues such as hallucinations, lack of context, and strategies to validate AI outputs.

Hear more from the Scientific & Technical Knowledge Domain through their position paper: "Safeguarding Scientific Rigor in the Critical Evaluation of Literature"