+1 720 515 7230 frontdesk@museumof.ai
Contact
Humans+AI: Collaborate, don't collide

How to work with AI

photo of girls playing baseketball

How women decide, and Chief Cognitive Officers.

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...
Read More
magical thinking forest

Magical thinking about ev-gen, your TA is a bot, and Foursquare predicts stuff really well.

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...
Read More
flower black-eyed susan

Getting to evidence-based policy: Explainista, Randomista, or Mapista?

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...
Read More
photo of stadium seats

Masters of self-deception, rapid systematic reviews, and Gauss v. Legendre.

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...
Read More

Analytics of presentations, Game of Thrones graph theory, and decision quality.

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....
Read More
evidence-based social innovation

‘Evidence-based’ is a thing. It was a very good year.

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...
Read More
1 … 7 8 9

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

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?
DALL-E image of robot head 800x450 29sep22
30 September 2022
Can AI fake reality?
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
Tell us how you're feeling about AI

Want to write a guest post? Give a talk at the museum?