ASA Connect

When Data & AI Get It Wrong: Two Thought-Provoking Fall Reads

What happens when we put our trust in data-or in artificial intelligence-without stopping to ask what might be missing, misunderstood, or simply wrong?

This fall, the ASA Book Club is exploring that question from two fascinating perspectives, both published by Princeton University Press.


📊 September 11 - Dark Data by David J. Hand
Facilitated by Sarah Lotspeich - Assistant Professor of Statistics, Wake Forest University
Registration 🔗 : https://lnkd.in/gwWq4hv4

Data can feel objective and authoritative. But what about the information we don't have, don't see, or don't know how to interpret? Dark Data explores the many ways missing, hidden, or misleading data can affect the conclusions we draw.


🤖 November 13 - AI Snake Oil by Arvind Narayanan and Sayash Kapoor
Facilitated by Elisavet (Elisabeth) Sofikitou - Mathematical Statistician, FDA
Registration 🔗 : https://lnkd.in/gyzF6hzF

AI is everywhere-but how much of what we're being promised is actually possible? AI Snake Oil examines the limitations, hype, and potential harms surrounding AI, and asks us to think more critically about what these systems can-and cannot-do.


Together, these books invite us to ask a bigger question:

When technology gives us an answer, how do we know whether we should trust it?


📖 Interested in joining the discussion? Register today!

⭐ Selected early registrants for each session will soon have an opportunity to receive a complimentary copy of that session's book! Thank you to the ASA Biopharmaceutical Section for their financial support for this initiative.