Using AI to Overcome Bias & Make Hiring More Equitable

Abstract: 

Recruitment and hiring has inherent bias that hinders companies from hiring the candidates who are best fit for the job. This hurts not only individual career paths and diversity efforts, but also the growth and success of organizations. By leveraging AI and career data from over 1 billion people, Ashutosh helped build a system free of bias that is shifting how companies recruit, hire, retain, and grow talent. Equal parity algorithms and audit and monitoring processes create a transparent system that is independent of race, gender, ethnicity, age, and other characteristics. Ashutosh will go into detail about how AI removes fairness concerns by increasing transparency and mitigating risk for unconscious bias. He’ll delve into how this system is helping remap the traditional career journey, increasing diversity at every level and helping Americans get back to work post-pandemic. Finally, Ashutosh will share case studies of how HR departments at leading organizations are using these technologies to make hiring more equitable and inclusive.

Bio: 

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Open Data Science

 

 

 

Open Data Science
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