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I got a video of her keynote at the Elevate Tech Festival in Toronto today. She covers unconscious bias and the need for cognitive diversity to tap the wisdom of crowds.

Go, Gen, go, go, go! More below…

6 responses to “Can AI take a bite out of bias in recruiting?”

  1. Quite the lineup! With baby bump (and BMOm arrow) Some moments (thx for the photos Leino!) Meanwhile, the robots have taken over outside

  2. Regarding: baby bump. Congratulations! I’m happy for you!

  3. AI can be unintentionally trained to apply human bias.

  4. For sure… especially if you train using outcomes data from past promotion decisions embodying historical biases. Gen addresses that in the video, around slide 18 onward. Underlying data are often the source of bias, not the algorithms themselves.

    “AI can help reduce bias, but it can also bake in and scale bias.” — McKinsey

    If you train a computer to optimize outcomes using biased past decisions, it’ll do a fantastic job of replicating that bias.” — Kate Glazebrook of Applied

  5. This just in: “That is where Genevieve Jurvetson – co-founder and CMO of Fetcher –comes in, and why I believe her most recent talk at the 2019 Elevate tech conference was one of the best." — GritDaily.

    That is some serious praise for a conference of such staggering scope, and hundreds of speakers.

  6. another today, by Genevieve: "McKinsey estimates that over the next 10 years – at the current rate of hiring – the number of women in management will increase by only 1%. Yet, applying advanced technologies to current hiring practices the study suggests, could help drive gender parity in management over that same 10 year period." — Intentionality In Hiring Is How We’ll Solve the Gender Gap

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