Amazon’s new project raises some interesting questions.
Reactions to the Indian government’s decision to make government attendance data public.
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?
We often bring up the topic ethics when evaluating various strategies for people analytics. My post is focused on pushing the discussion further by raising though questions (such as how much are we willing to sacrifice? and is it worth it?) we as a society have to deal with as we accept people analytics to make better decisions.
There's notoriously high human error in medicine, but algorithms can be imperfect, too. How should we handle this?
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.
As the SARS-CoV-2 pandemic pushes office work to digital platforms, employees are creating more, and more complete, communications data than ever before. Should companies view this as an opportunity to roll out new analytics tools?