“Allowing machines to participate in and perhaps even dictate decisions in Human Resources raises a host of ethical considerations. After all, these systems control various forms of opportunity for the workforce. More precisely, they involve people’s livelihood, hopes and dreams.” - John Sumser
“Bias is always an issue with AI because the machine learning systems only know what they are taught. And what machine learning systems ‘‘learn’ is sometimes surprising or just wrong.” - Heather Bussing
Corporate values are not always what they seem. Insincere proclamations and ignored platitudes in values statements can become a powerful negative influence when they are practiced and defended with conviction. Dr. Todd Dewett explains.
“Bias is always an issue with AI because the machine learning systems only know what they are taught. And what machine learning systems ‘learn’ is sometimes surprising or just wrong.” - Heather Bussing
“Bias is always an issue with Intelligent Tools because the machine learning systems only know what they are taught. And what machine learning systems ‘learn’ is sometimes surprising or just wrong.” – Heather Bussing
Marriage is one of those places where law and religion cross and both have strong interests.
In honor of Martin Luther King Day, here is the Diversity series we did in year’s past.
“Equal opportunity does not mean treating everyone like a 50 year-old white guy. It means appreciating people for who they actually are.” – Heather Bussing
“WeWork recently announced a new policy saying that it would not serve meat at its events. I just don’t think that policies that force employees to eat a certain way are either the right way to treat employees or an effective way to save the planet.” – Heather Bussing
Creating an inclusive, diverse, and successful work place is not about getting every decision perfect. It’s about fairness, openness, and care.
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