Recidivism risk algorithms – Should AI decide who goes free and who goes to jail?
Health insurance plans meet user data – but is such use of our data a healthy development for society?
Despite having an alleged gender-neutral algorithm, male Uber drivers earn 7% more than female drivers. Should Uber act to correct this gender pay gap?
In this post, I share my thoughts on the article, “Employee mood measurement trends” by Tom Haak, which amongst other things, describes three main means of measuring employee mood: traditional surveys, simple daily feedback tools, and passive data mining of employee online communications (emails, Slack, Yammer etc.).
I share my assessment of each method. Furthermore, I discuss why passive communications mining is likely to generate data that is unrepresentative of employee mood. Instead, it is more suited for analyzing supervisor effectiveness, which is a leading indicator and arguably the most important determinant of employee mood (the symptom).
Finally, I opine that analyzing supervisor effectiveness through communications data mining could be combined with traditional employee mood surveys to generate actionable insights to improve overall employee performance.
Is AI the future for hiring and people management? Can people see the value in substituting human beings making hiring decisions and rely on what a machine tells them? Pymetrics certainly believes so!
There's notoriously high human error in medicine, but algorithms can be imperfect, too. How should we handle this?
Workday Skills Cloud uses machine learning to identify core skills for enterprises to pursue and develop. Its use cases and the implications on talent decisions require closer examinations to truly support employee and organizational growth.
In a few of our class sessions this semester, we have asked whether and how people analytics differs across cultural contexts. I have found these questions interesting, so I thought I would dig into some examples from France. I would […]
Humans are notoriously lousy decision makers, especially when it comes to hiring. To help streamline that process, HireVue has introduced algorithmic-based video-assessment to help companies make better hiring decisions. Over 700 companies have adopted this new approach, but is that the right decision?
Using analytics to identify nontraditional job candidates who are as qualified and high performing as traditional candidates