Post by Mike Erlin

Founder | CEO | Committed to improving human performance & work satisfaction through science-based workforce intelligence.

Too often, people decisions go wrong not because of a lack of talent, but because of bias. I learned this lesson years ago on the water. I was part of a sailing crew that was winning, until a leader made a biased call that disrupted the team dynamic. Capability wasn’t the problem. Subjective judgement was. We lost our shot at the top. Business is no different. Legacy assessments carry construct, method, and item bias that distort results. AI-native tools inherit data and model bias, often inside a black box. Below I’ve written more on how objectivity transforms talent decisions. I hope it is useful to you. AbilityMap Dave Seligsohn Kevin Chandler Rob Fitzpatrick Russ Silvestri Amanda Green Ali Jaffari Pete Howell Peter Agorto Marc Thompson Alex Nikoliouk Scott Horton Athena Chintis (CPHR) Kylie Simonds Andrew Kable Karen Massier Amy Poynton Paul Broughton Mike Bollinger Maureen Love Heidi Lappen Mark Chase Anthony Miller Christopher Buchanan-Turner Adam Leonard Gemma Leitch Liz Schenke Cherie Mylordis Mark A McLaughlin Michael Eichler Peder Jacobsen Thomas Bailey Tanya Oziel Olivier Pestel Adrian Towsey Craig Weiss Will Lowry

Post content