Humans+AI: Collaborate, don't collide

How to work with AI

photo of girls playing baseketball
1. Do we judge women’s decisions differently? Cognitive psychologist Therese Huston’s book is How Women Decide: What’s True, What’s Not, and What Strategies Spark the Best Choices. It may sound unscientific to suggest there’s a particular way that several billion people make decisions, but the...
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magical thinking forest
1. Magical thinking about ev-gen. Rachel E. Sherman, M.D., M.P.H., and Robert M. Califf, M.D. of the US FDA have described what is needed to develop an evidence generation system – and must be playing a really long game. “The result? Researchers will be able...
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Three Ways of Getting to Evidence-Based Policy. In the Stanford Social Innovation Review, Bernadette Wright (@MeaningflEvdenc) does a nice job of describing three ideologies for gathering evidence to inform policy. Randomista: Views randomized experiments and quasi-experimental research designs as the only reliable evidence for choosing...
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photo of stadium seats
1. Human fallibility → Debiasing techniques → Better science Don’t miss Regina Nuzzo’s fantastic analysis in Nature: How scientists trick themselves, and how they can stop. @ReginaNuzzo explains why people are masters of self-deception, and how cognitive biases interfere with rigorous findings. Making things worse...
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1. Edges, dragons, and imps. Network analysis reveals that Tyrion is the true protagonist of Game of Thrones. Fans already knew, but it’s cool that the graph confirms it. This Math Horizons article is a nice introduction to graph theory: edges, betweeness, and other concepts....
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evidence-based social innovation
2015 was kind to the ‘evidence-based’ movement. Leaders in important sectors – ranging from healthcare to education policy – are adopting standardized, rigorous methods for data gathering, analytics, and decision making. Evaluation of interventions will never be the same. With so much data available, it’s...
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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.

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