Ep 681: Can AI Fix TA's Biggest Problem?

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?

What does the future look like

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