Cognitive bias in algorithms, baseball analytics denied, and soft skills ROI.
Meetup 25-Jan-2018: Papers We Love
1. Recognize bias → Create better algorithms Can 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 not neutral. If you set up your resume-screening algorithm […]
Our founder, Tracy Allison Altman, will talk about behavioral economics for software design @ Papers We Love – Denver on Jan 25. Tversky and Kahneman’s classic “Judgment under Uncertainty: Heuristics and Biases” challenged conventional thinking about bias in decision making, inspiring new approaches to cognitive science, choice architecture, public policy, and the underlying technology. Join […]