“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.
“People often wonder if they’re being harassed at work, treated unfairly, or have been wrongfully terminated. It turns out, what most people think of as harassment or “wrongful” is neither — at least legally.” - Heather Bussing
“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
“People often wonder if they’re being harassed at work, treated unfairly, or have been wrongfully terminated. It turns out, what most people think of as harassment or “wrongful” is neither — at least legally.” – Heather Bussing
“We are a culture that idolizes youth. We want to live forever. But we are terrified of getting old. Age discrimination can happen to you. It probably will.” – 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.
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