Racial Bias in Healthcare Algorithms
There's notoriously high human error in medicine, but algorithms can be imperfect, too. How should we handle this?
There's notoriously high human error in medicine, but algorithms can be imperfect, too. How should we handle this?
By analyzing millions of employee survey responses, Peakon shows that employee engagement starts to drop about 9 months’ before an employee leaves. Peakon’s analysis shows the true power of people analytics: being integrated in internal processes, using data beyond the level of the firm, and resulting in actionable insights. Ad astra!
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.
What expert opinions and analytics data are telling us about what will happen to our productivity in the age of Covid-19
Just because we can, doesn’t mean we should. Ethics is a rising concern in the practice of people analytics. A few challenges and best practices to consider.
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?
In a desperate effort to #flattenthecurve, many countries have employed various forms of tracking technology to identify infected citizens and monitor quarantines. Should we be concerned?
HireVue is an AI hiring platform that helps to assess more candidates with presumably less biases. However, the technology behind it might be biased against disabled candidates even more.
Social media data is being analyzed to measure employee engagement and to preempt dangerous student behavior. Should it be used to predict mental illness?