Recently Amazon announced it had shut down a talent-finding algorithm built by its internal team. Why? Because it was perpetuating bias against women at the tech giant, which is unacceptable in today’s work environment.
With so many bots, algorithms and other tools being used to automate our work and personal lives, it’s important to think about how this affects each of us. Is there bias in the algorithms that drive our decisions? If so, how do we mitigate that?
In today’s episode, Ben talks with two IBM leaders with diverse perspectives on AI, bias, and more. Lisa Seacat DeLuca and Amber Grewal both join the show to talk about how they see AI benefiting the workplace but also how to watch for bias and prevent it from creeping into the finished product.
To learn more, be sure to check out the following resources from IBM:
Links to the references made by Lisa and Amber on the podcast:
- IBM releases world’s largest annotation dataset for studying bias in facial analysis: https://www.ibm.com/blogs/research/2018/06/ai-facial-analytics/
- Test out IBM Watson Candidate Assistant on the IBM Career Page: https://attractive.mybluemix.net/welcome,