The author suggests 4 steps to build an ethical AI for talent management.
- If you're working in the AI environment, what are the ethical aspect you consider when building AI solutions?
- If you're NOT working in this industry, what worry you the most? What aspect you would expect to be evaluated during implementation? Saving Changes...
I had the chance to support (as an agile coach) one team which was using machine learning to get deeper insights into some of the customers of the bank I was consulting with.
From a talent management perspective, the common concerns with AI usage relate to unconscious (or conscious) bias making it a non-level playing field for candidates. For example, if the data set used to train the AI is lacking folks from a given community (e.g. ethnic, gender) the AI might disqualify applicants coming from that community.