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With the growing popularity and increasing capabilities of generative AI, more and more attention is also drawn to AI model biases, in particular, gender biases. But what exactly does bias mean in this context, how should it be addressed, and what role do humans play in all this?

Is it time to throw out our gender-equity-in-STEM training materials? Williams and Ceci (2015) reported that STEM faculty members have a preference for hiring women (not men), reigniting debates over equity in academic hiring. In our blog post, we add to a growing conversation among the scientific...