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How artificial intelligence can eliminate bias in hiring

#artificialintelligence

Diversity (or lack of it) is still a major challenge for tech companies. Poised to revolutionize the world of work in general, some organizations are leveraging technology to root out bias, better identify and screen candidates and help close the diversity gap. That starts with understanding the nature of bias, and acknowledging that unconscious bias is a major problem, says Kevin Mulcahy, an analyst with Future Workplace and co-author of The Future Workplace Experience: 10 Rules for Managing Disruption in Recruiting and Engaging Employees. AI and machine learning can be an objective observer to screen for bias patterns, Mulcahy says. "The challenge with unconscious bias is that, by definition, it is unconscious, so it takes a third-party, such as AI, to recognize those occurrences and point out any perceived patterns of bias.


How artificial intelligence can eliminate bias in hiring

#artificialintelligence

Diversity (or lack of it) is still a major challenge for tech companies. Poised to revolutionize the world of work in general, some organizations are leveraging technology to root out bias, better identify and screen candidates and help close the diversity gap. That starts with understanding the nature of bias, and acknowledging that unconscious bias is a major problem, says Kevin Mulcahy, an analyst with Future Workplace and co-author of The Future Workplace Experience: 10 Rules for Managing Disruption in Recruiting and Engaging Employees. AI and machine learning can be an objective observer to screen for bias patterns, Mulcahy says. "The challenge with unconscious bias is that, by definition, it is unconscious, so it takes a third-party, such as AI, to recognize those occurrences and point out any perceived patterns of bias.


How artificial intelligence can eliminate bias in hiring

#artificialintelligence

Diversity (or lack of it) is still a major challenge for tech companies. Poised to revolutionize the world of work in general, some organizations are leveraging technology to root out bias, better identify and screen candidates and help close the diversity gap. That starts with understanding the nature of bias, and acknowledging that unconscious bias is a major problem, says Kevin Mulcahy, an analyst with Future Workplace and co-author of The Future Workplace Experience: 10 Rules for Managing Disruption in Recruiting and Engaging Employees. AI and machine learning can be an objective observer to screen for bias patterns, Mulcahy says. "The challenge with unconscious bias is that, by definition, it is unconscious, so it takes a third-party, such as AI, to recognize those occurrences and point out any perceived patterns of bias.


When governments turn to AI: Algorithms, trade-offs, and trust

#artificialintelligence

The notion reflects an interest in bias-free decision making or, when protected classes of individuals are involved, in avoiding disparate impact to legally protected classes.3


When governments turn to AI: Algorithms, trade-offs, and trust

#artificialintelligence

The notion reflects an interest in bias-free decision making or, when protected classes of individuals are involved, in avoiding disparate impact to legally protected classes.3