Epsiode 93: Facial Recognition, Demographic Analysis & More with Timnit Gebru

Episode 93 November 25, 2019 00:23:15
Epsiode 93: Facial Recognition, Demographic Analysis & More with Timnit Gebru
The Georgian Impact Podcast | AI, ML & More
Epsiode 93: Facial Recognition, Demographic Analysis & More with Timnit Gebru

Nov 25 2019 | 00:23:15

/

Hosted By

Jon Prial

Show Notes

Whether overt or unintentional, whether human- or technology-oriented, bias is something that every company must be vigilant about. And while it used to be something you might have to worry about with your employees, today it can be equally pervasive — and problematic — in the algorithms those employees create and the data they use.

Although the examples of bias in AI are numerous, one of the more prominent areas where we’ve seen it happen in recent years is in image processing. In this episode of the Impact Podcast, Jon Prial talks with Timnit Gebru a research scientist in the Ethical AI team at Google AI and a co-founder of the group Black in AI about some of the challenges with using facial recognition technology.

Who is Timnit Gebru?

Timnit Gebru is a research scientist in the Ethical AI team at Google AI.  Prior to that, she was a postdoctoral researcher in the Fairness Accountability Transparency and Ethics (FATE) group at Microsoft Research, New York. She earned her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Her main research interest is in data mining large-scale, publicly available images to gain sociological insight, and working on computer vision problems that arise as a result, including fine-grained image recognition, scalable annotation of images, and domain adaptation. She is currently studying the ethical considerations underlying any data mining project, and methods of auditing and mitigating bias in sociotechnical systems. The New York TimesMIT Tech Review, and others have recently covered her work. As a cofounder of the group Black in AI, she works to both increase diversity in the field and reduce the negative impacts of racial bias in training data used for human-centric machine learning models.

Other Episodes

Episode 10

June 11, 2020 00:19:36
Episode Cover

Episode 122: Leading with Trust with Fiix Software's Jes Ellacott

When companies start leading with trust, they win. Jes Ellacott is our guest on this episode of the Georgian Impact Podcast. Jes manages the...

Listen

Episode 30

November 25, 2019 00:29:57
Episode Cover

Episode 30: Are Chatbots the New Apps?

AI-powered chatbots are becoming increasingly pervasive. As they become more and more sophisticated, they’re starting to provide real value by making our lives easier....

Listen

Episode 28

November 25, 2019 00:22:24
Episode Cover

Episode 28: How a Cyber Attack Inspired a New Era of Blockchain-Powered Digital Security

In 2007, a cyber attack rocked Estonia, affecting parliament, banks, and media outlets. It was an event that cast a spotlight on cyber security...

Listen