Value Driven Data Science

AI misinformation is a new problem. Misleading data is not. Long before anyone had heard of a hallucination, organisations were making bad decisions based on cherry-picked statistics, misunderstood averages, and numbers that confirmed what decision-makers already wanted to believe.

In this Value Boost episode, Derek Gibson joins Dr Genevieve Hayes to explore how data professionals can help their stakeholders become better data sceptics and avoid being duped by misleading data long before it ever reaches an AI.

In this episode, you'll discover:
1. The timeless data traps that catch even experienced decision makers [01:56]
2. How to arm your stakeholders with the right questions to push back on data [07:57]
3. Why confirmation bias is the most dangerous data vulnerability in any organisation [09:20]
4. What it means when an analytics team is asked to confirm a decision rather than inform one [13:24]

Guest Bio

Derek Gibson is a decision scientist, analytics educator, and has recently wrapped up his long career in financial services at Wells Fargo. He serves on the Wake Forest University MS Business Analytics Advisory Board. He is also a co-author of Data Duped: How to Avoid Being Hoodwinked by Misinformation and author of the upcoming Data, AI, and the Noise: Searching for Truth in Information and Algorithms.

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