The Uncoded Bias in AI Hiring

Behind the uncoded bias in AI hiring are machines participating in and perhaps even dictating hiring decisions.

AI Hiring: Bias in the Code

“While it is true that a machine can do a better job at relentlessly sticking to a narrow script, it cannot see or understand things that are not in the data. Unlike people and their unconscious biases, machines can only change their approach with new measurement and new coding. In other words, while machines may be able to address small components of unconscious bias, they cannot address all (or even most) of it.” - John Sumser

Uncoded Bias in AI Hiring

“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

The Problem with Corporate Values

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.

Mobile Recruiting Rears Up

Mobile Recruiting: what’s taking so long, whose fault is it, and how can an earnest visionary speed things up.

Debate: Mobile Recruiting 1

After nearly a decade of big rhetoric about mobile being the ‘next thing in recruiting’, why is it that only 5% of the Fortune 500 have a effective mobile recruiting presence?