Making Sense of AI: Foundations and Practical Realities
May 22, 2026 @ 10:00 – 11:00 CEST
Eric Dexter
NBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms, typically between 10 and 11 am, with approx. 45 min presentation and 15 min discussion.
When: May 22, 10:00-11:00
Where: Zoom http://meet.nbis.se/ainw
Speaker: Eric Dexter, Dexter Precision Analytics.
Read more about the speaker here .
Abstract
The rapid spread of AI models, especially large language models (LLMs), has put many researchers and institutions in an awkward position: making consequential decisions about fast-moving technologies. This talk is about identifying and closing knowledge gaps to support better decision making around AI implementation. It covers the fundamentals of AI literacy needed to participate meaningfully in decisions about these tools, with the recognition that different roles, whether user, decision-maker, or engineer, call for different depths of understanding. Working through key vocabulary and the basics of how LLMs actually behave, including hallucinations, model bias, and the rise of agentic systems built on top of them, the talk lays out a practical framework for getting started with LLMs at the institutional level. We will look at common failure modes that lead to wasted effort or poorly scoped projects, how to design pilot initiatives that produce useful information rather than just enthusiasm, and how to build reproducible workflows that hold up to scientific scrutiny.
To stay updated, you can join our email list by contacting ai-network@scilifelab.se.
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