Humans+AI: Collaborate, don't collide

How to work with AI

1. Recognize bias → Create better algorithmsCan we humans better recognize our biases before we turn the machines loose, fully automating them? Here’s a sample of recent caveats about decision-making fails: While improving some lives, we’re making others worse. Yikes. From HBR, Hiring algorithms are...
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data visualization of crime statistics using Tableau
Technology helps us discover meaningful patterns: Buying behavior, criminal activity, health effects. But when we succumb to pretty pictures and mindless measurement, shiny data fails to help answer important questions. Source: Tableau. This data visualization tool would be great for someone seeking crime stats –...
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1. Long view → Better financial performance.A McKinsey Global Institute team sought hard evidence supporting their observation that “Companies deliver superior results when executives manage for long-term value creation,” resisting pressure to focus on quarterly earnings (think Amazon or Unilever). So MGI developed the corporate...
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Our founder, Tracy Allison Altman, will talk about cognitive bias and behavioral economics for software design @ Papers We Love – Denver. Tversky and Kahneman’s classic “Judgment under Uncertainty: Heuristics and Biases” challenged conventional thinking about bias in decision making, inspiring new approaches to cognitive...
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1. “A gut is a personal, nontransferable attribute, which increases the value of a good one.” This classic from Harvard Business Review recaps how policy makers have historically made big decisions. It’s never just about the data. A Brief History of Decision Making. 2. A...
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man and woman about to feed each other
1. It’s tempting to think there’s a hierarchy for data: That evidence from high-quality experiments is on top at Level 1, and other research findings follow thereafter. But even in healthcare – the gold standard for the “gold standard” – it’s not that simple, says...
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There’s plenty of advice about designing presentations. But little of it prepares you for delivering complex evidence to senior-level decision-makers. This should help. How might your evidence help someone understand the steps required to reach an important goal? 1. Put together lean evidence, embracing lean...
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Anscombe quartet for data visualization
Source: Wikipedia. Anscombe’s quartet. Presenting to decision makers? Always remember it’s not a data story you’re telling, it’s a value story. First, ask yourself: What is the message? Why is this valuable and meaningful to your audience? Where did the data come from, and why...
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1. Underwriters + algorithms = Best of both worlds. We hear so much about machine automation replacing humans. But several promising applications are designed to supplement complex human knowledge and guide decisions, not replace them: Think primary care physicians, policy makers, or underwriters. Leslie Scism...
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kitten on keyboard awww!
Yikes, evidence-based decisions are taking on water. Decision makers still resist handing the car keys to others, even when machines make better predictions. And government agencies continue to, ahem, struggle with making evidence-based policy.  — Tracy Altman, editor 1. Evidence-based home visit program loses funding.The evidence base has...
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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

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
22 April 2023
Sneaky STEM: Inspire learning with immersive experiences
15 March 2023
Can AI replace your CEO?
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
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