Inclusive AI at work: Unconscious bias and artificial intelligence in recruitment and selection
Technological developments and the use of artificial intelligence (AI) is changing the way we work – and even how we recruit people.
But is AI making recruitment more efficient and less biased by taking humans out of the equation, or are we embedding more biases in the process?
At this event we take a critical look at the extent to which unconscious bias has an impact on recruitment and selection and what the impact is of artificial intelligence on these processes.
Our guest presenter, Andreas Leibbrandt, Professor of Economics at Monash University discussed the potential and the pitfalls of AI-based recruitment and selection technologies for workplace diversity and inclusion. Andreas also outlines the research that Monash University and DCA, along with partners Hudson RPO, are working on to better understand the impact of unconscious bias and artificial intelligence on recruitment and selection.
DCA CEO Lisa Annese joins Andreas and our guest panel to discuss the pro’s and con’s of how we use artificial intelligence for recruitment and selection. Our panel includes:
- Kimberley Hubble, CEO APAC, Hudson RPO
- Barbara Hyman, CEO, PredictiveHire.com
- Cathy Brown, Director, Policy & Projects, DCA
- Andreas Leibbrandt, Professor of Economics, Monash University.
'A large group attended the recent online inclusion in the workplace training and really found it beneficial in our discussion and works.' - Milly Gunn, Adore Beauty
'I really liked the combination of stats/evidence & anecdotes about the current situation (for awareness purposes) and suggestions on concrete actions people can do to reduce bias (for improvement purposes). The variety of expertise on the panel was great.' - Anon event participant
'It was excellent. Thank you so much for putting this and other events on. It's so great to hear from DCA, academics and industry on this topic and others. DCA is such an incredible resource and I feel fortunate to have access to these sessions and other resources.' - Lisa Gulesserian, The University of Sydney