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1. Vigilance → Better algorithms “Eliminating bias… requires constant vigilance on the part of not only data scientists but up and down the corporate ranks.” In an insightful Information Week commentary, James Kobielus (@jameskobielus) considers the importance of Debiasing Our Statistical Algorithms Down to Their Roots. “Rest assured that AI, machine learning, and other statistical...
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Museum musings.

Pondering the places where people interact with artificial intelligence: Collaboration on evidence-based decision-making, automation of data-driven processes, machine learning, things like that.

Recent Articles

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19 August 2021
How to blame a robot for mistakes: Do your finger pointing properly.
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12 August 2020
How Human-in-the-Loop AI is Like House Hunters
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9 April 2020
Deciding while distancing: From data viz to the hard decisions.
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26 February 2020
Will military ethics principles make AI GRRET again?
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30 January 2020
Struggling to explain AI? Try this before|after strategy.