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Thursday, March 10, 2016

AI To The Rescue: Eliminating 'Old Boys Network Bias'

London Scientist Creates Artificial Intelligence to Stop 'Old Boys’ Network Bias'

Mark Blunden | March 9, 2016



Tom Bowles’s software is intended to replace human headhunters who perform hours of tasks such as searching Google and checking sites like Crunch Base and LinkedIn.
It can tell if a candidate has performed particularly well with a company after moving to a new city, and identify rapid career progression.
Dr Bowles said that by analysing these factors the AI “knows” if a person would be right for a company — removing unconscious bias towards certain groups that employers may have.
The next phase is getting the AI to interview job candidates on video. The AI has been coded so that it continually learns by training itself.
The project was commissioned by the London-based Founders Factory, which helps to identify the new generation of digital entrepreneurs.

The project was commissioned by the London-based Founders Factory, which helps to identify the new generation of digital entrepreneurs.
Dr Bowles, who spent a year writing the AI’s complex algorithms, said many good candidates were not being identified by recruiters despite being suited for the role. “By looking at each individual in the context of what they have achieved, within their relevant field, biases like gender or location can be minimised,” he said.
“AI can have a significant impact on diversity because it doesn’t care about someone’s background, it only sees the potential within them.
“What I was trying to do was take out the human bias, [for example] the bias of one school versus another.

<more at http://www.standard.co.uk/news/techandgadgets/london-scientist-creates-artificial-intelligence-to-stop-old-boys-network-bias-a3199041.html; related articles and links: http://www.recruitmentgrapevine.com/article/2016-03-10-scientist-designs-ai-recruiter-to-stamp-out-boys-club-bias (AI Recruiter invented to stamp out 'boys club' bias. March 10, 2016) and http://www.innovationtoronto.com/2016/03/progress-toward-software-reasons-like-humans/ (Progress Toward Software That Reasons Like Humans. March 7, 2016)>

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