Join Torin Ellis, an accomplished recruiter and DEIB strategist, as he dives into the intricate relationship between AI and bias in hiring. He discusses how traditional recruiting practices often reinforce systemic biases and emphasizes that, when used intentionally, AI can actually diversify candidate slates. Torin reveals intriguing findings from research with Plum, suggesting responsible AI use can level the playing field. He also addresses the risks involved and the necessity for human-centered approaches in integrating AI into talent acquisition.
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insights INSIGHT
Comfort Drives Recruiting Biases
Recruiting is systemically biased because teams prioritize comfort and speed over challenging the status quo.
Torin Ellis argues recruiters favor familiarity and fast time-to-fill at the expense of representation.
insights INSIGHT
Three Employee Reactions To AI
Employee reactions to AI vary: some are fearful, some curious, and some disengaged until disruption hits.
Torin Ellis warns HR must educate employees because AI adoption will rapidly reshape roles and headcount.
volunteer_activism ADVICE
Use AI To Look Beyond Resumes
Use AI intentionally to expand candidate slates and evaluate beyond resumes.
Torin Ellis recommends leveraging assessments and AI-driven discovery to surface overlooked potential.
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People are worried about the use of AI in recruiting. Headlines warn us that artificial intelligence might amplify biases and automate unfairness. Regulators are scrambling to introduce legislation, and talent acquisition leaders are cautious about adopting these new tools. But is this fear causing us to miss the bigger picture? When implemented intentionally and responsibly, could AI become one of the most powerful tools we've ever had for reducing systemic bias and creating fairer hiring practices? Keep listening to find out.
Recruiting processes often prioritize speed and familiarity over fairness and inclusion and, in so doing, reinforce existing biases. With AI becoming increasingly integrated into hiring, many worry that this technology will amplify bias even more. However, some recently published research suggests this assumption doesn't tell the whole story.
My guest this week is Torin Ellis, an experienced recruiter, DEIB strategist, and high-profile advocate for fair and inclusive hiring. Torin recently published research in collaboration with Plum, specifically highlighting how organizations that use AI in an intentional way are seeing significant improvements in diversifying their candidate slates and expanding their talent pools. He believes that AI can create a more level playing field for all candidates if it's properly deployed. Torin also emphasizes that the risks of AI-driven biases are real, and recruiters need to approach AI thoughtfully and responsibly.
In the interview, we discuss:
What makes recruiting systemically biased
Democratizing access to opportunity
How AI is diversifying slates of talent
The dangers of relying on resumes
Using AI intentionally to reduce bias
Upskilling, reskilling, and driving toward equal compensation
What are the dangers of AI?
How are employers responding to the attacks on DE&I?