Hello all,
I've been getting more interested in using AI in my academic work, after hearing from enthusiastic users that are colleagues, presenters at conferences like the SUNY WIZARD, and in wonderful online presentations on AI in higher education like the one Darice Corey from Yale College just did for the EDUCAUSE WIT.
I also completed the Introduction to AI certificate through the SUNY/Google collaboration on Coursera.
And then, I was reminded about all the potential errors, biases, and inequities we need to keep watching out for!
Why you shouldn’t count on humans to prevent AI hiring bias is a newspaper article from the Washington PostMy (I used their gifting option so everyone should be able to open it) reporting on research showing that humans were influenced by a biased AI tool while working to select job candidates to interview. That's really problematic! According to the newspaper article, the researchers concluded that human oversight wasn't enough to correct for anti-white hiring bias.
This ending quote from the article really sums it up for me, "Efficiency gains you get from an AI tool or process mean nothing if that tool isn’t reliable or fair,” Gutierrez said. “Speed without accuracy is just going to get you to the wrong outcome faster.”
We all need to make sure we gain both speed and accuracy in our use of AI, or we will slide backwards on the equity progress we've worked very hard to achieve.
All the best,
Holly
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