New job analyser functionality embedded within the SAP SuccessFactors Recruiting Management solution will help organisations create effective and competitive job descriptions, and work to eliminate unconscious bias in recruiting, according to SAP, which announced the planned solution this week.
The functionality, which will be available in beta in the fourth quarter of 2017, will use machine learning algorithms, from SAP Leonardo Machine Learning to predict and flag gender bias during the recruitment process.
According to SAP, removing gendered languages from job descriptions will result in an expanded, richer applicant pool. Hiring managers will also be able to use external data to analyse market competitiveness and salary ranges.
“Many businesses continue to have unintended blind spots when it comes to their hiring practices, and this is stopping them from finding the best talent,” said Greg Tomb, president, SAP SuccessFactors.
“We are introducing digital innovation with machine learning to help HR teams uncover new insights across the full range of HR processes, in this case to support unbiased decision-making in the hiring process. With the job analyser, leaders are better positioned to attract and engage the best available people, which equates to a stronger business impact.”
SAP also plans to expand its ‘Business Beyond Bias’ focus to help companies optimise existing features in the SAP SuccessFactors HCM Suite to eliminate inherent bias around age, ethnicity, and differently-abled and LGBT communities.