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The Hustle recently asked Should we automate the CEO? And the question isn’t facetious: Instead Zachary Crockett walks us through data showing many CEOs earn ~300X the pay of an average worker, and more than a few run underperforming companies. ” Tasks ripe for automation include reviewing forecasts and sending emails; some experts believe 40%...
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photo of row of townhouses seen through fisheye camera lens
House Hunters International is great guilty-pleasure viewing, especially while nursing a cold or avoiding the plague. (Pro: Insider views of interesting cities. Con: Reminders of the unique pain of choosing a place to live.) It’s easy to add city center, natural light, and extra bedrooms to your wish list, but painful to accept the inevitable...
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woman-in-beach-with-shark-sign
Since my work is about humans+AI deciding together, I attended DAAG 2019 in beautiful downtown Denver, exploring the “intersection of decision analysis and data science to take decision-making to the next level.” The intent was for decision analysts to better understand data science and “support data-centric decision-making” while data scientists could better “guide the use...
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silver corded microphone in shallow focus photography
Jerry Seinfeld was wrong when he claimed public speaking is our #1 fear. I’m pretty sure we’re more afraid of having our decisions scrutinized. Adding to the fun, now algorithmic decisions are under pressure too. It is rather painful to have decisions second-guessed before the numbers come in, and even worse if things go pear-shaped....
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shopper looking thru department store merchandise
To paraphrase Raymond Chandler, too many projects deliver department store data: The most of everything but the best of nothing. Enterprise AI and analytics developers must avoid the mistake of underserving people by overengineering solutions. Designers and decision makers need straightforward tools to make them better, to save time and facilitate their best work. They...
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boston-dynamics-spot-mini
1. Machines Gone Wild → Digital trust gapLast year I spoke with the CEO of a smallish healthcare firm. He had not embraced sophisticated analytics or machine-made decision making, with no comfort level for ‘what information he could believe’. He did, however, trust the CFO’s recommendations. Evidently, these sentiments are widely shared. — Tracy A...
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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

muscle car by bing/create
20 June 2023
Stolen cars and AI ‘moral self-correction’
person in silhouette with orange background, pondering AI input for an evidence based decision
9 May 2023
Can you trust AI with your next decision? Part 3 in a series on fact-checking/citation
image generated by bing image creator bottle on apothecary shelf
25 April 2023
How is generative AI referencing sources? Part 2 in our series
reference to Google's Bard AI and Microsoft's Bing AI compared to conflict at Sopranos Bada Bing
28 February 2023
What’s state-of-the-art when an AI cites sources of evidence? Part 1 in our series
finger pointing
19 August 2021
How to blame a robot for mistakes: Do your finger pointing properly.