Behind the uncoded bias in AI hiring are machines participating in and perhaps even dictating hiring decisions.
“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
“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
In the conclusion of his series on AI Risks, Ethics, and Liability, John Sumser provides questions to ask your AI Tech vendor and his thoughts on how to manage the new wave of algorithms you’ll encounter with intelligent tools.
“Some of today’s tools (and all of tomorrow’s) do much more than record and report. They suggest, recommend, decide, evaluate, prescribe, filter, analyze, monitor, and learn. Era 1 tools could not hurt people. Era 2 tools can.” – John Sumser
John Sumser provides you with a list of questions for your vendor about the utilization of intelligent machines in your HR/Operations processes.
“HR has been slow to adopt AI and Machine learning. The Sierra-Cedar HRTechnology Industry survey suggests that fewer that 7% of the companies they surveyed are using or considering using Machine Learning technologies in HR.” – John Sumser
“Some of today’s tools (and all of tomorrow’s) do much more than record and report. They suggest, recommend, decide, evaluate, prescribe, filter, analyze, monitor, and learn. Era 1 tools could not hurt people. Era 2 tools can.” – John Sumser
“Let’s say you couldn’t remember the capital of Belgium. You could ask the computer what it is by saying ‘I want Paris, but subtract France and add Belgium.’ The computer would return Brussels. Now imagine you could do that with employees. What if you could say ‘I want someone like my best engineer, but with more experience in management?’” – Rob May, CEO Talla
“Let’s say you couldn’t remember the capital of Belgium. You could ask the computer what it is by saying ‘I want Paris, but subtract France and add Belgium.’ The computer would return Brussels. Now imagine you could do that with employees. What if you could say ‘I want someone like my best engineer, but with more experience in management?’” – Rob May, CEO Talla
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