data strategy

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woman exiting revolving door
To cut through AI complexity, focus on decisions. Never has it been more important to effectively explain complex concepts. Technology is influencing most decision processes, not always transparently so. On the bumpy road toward explainable AI (XAI), we find great communication options, from printed materials to state-of-the-art experiences. But where do you start, or know...
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decision bias in food-poverty policy
1. Biased analysis → Misunderstood cause-effect In Biased Ways We Look at Poverty, Adam Ozimek reviews new evidence suggesting that food deserts aren’t the problem, behavior is. His Modeled Behavior (Forbes) piece asks why the food desert theory got so much play, claiming “I would argue it reflects liberal bias when it comes to understanding...
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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

finger pointing
19 August 2021
How to blame a robot for mistakes: Do your finger pointing properly.
photo of row of townhouses seen through fisheye camera lens
12 August 2020
How Human-in-the-Loop AI is Like House Hunters
coronavirus pandemic curve - johns hopkins
9 April 2020
Deciding while distancing: From data viz to the hard decisions.
soldiers looking at 3d map
26 February 2020
Will military ethics principles make AI GRRET again?
Museum of AI entrance
8 July 2019
Can we explain AI with experiential? I say yes.