Facial Recognition with John Hershey, Machine Learning Researcher
In today’s Device Squad, the digital transformation podcast from Anexinet, Steve and Glenn talk with John Hershey, Machine Learning Researcher, about the state of Facial Recognition (aka Face Surveillance) Technology, about AI bias, and about San Francisco recent “ban” on the technology for government use. Is Facial Recognition a valuable public-safety tool or is it an infringement of our civil liberties?
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This episode also answers the following questions:
What does it mean when San Francisco— one of the most tech-friendly and tech-savvy cities in the world—is suddenly the first state to prohibit its government from using facial-recognition technology??
Why the ban? Why now? What’s wrong with government agencies using Facial Recognition?
Is it really invasive? Or is it more about it not being perfect?
Where are we at with facial recognition? What would be the source for their data? How are they recognizing these faces, anyway?
Is this more about concern over the possibility of errors? Wrongful imprisonment? Are they simply worried about being sued? Or do they really care about our right to privacy?
What part does AI bias play into this?
If we recognize that bias exists, what steps are being taken to eliminate the bias? Is there a way to estimate or predict bias?
Is the ban worth it? Do we need more like it? What about other forms of recognition? Voice recognition, airport scanning, etc.?
Steven is Anexinet's Lead Content Strategist, focused on Enterprise Mobile Products, with a diverse background in literature and humor. He has helped countless Fortune 500 companies define the direction of their digital campaigns and web/mobile applications. Additionally, he co-founded Apperian, a Boston-based mobile technology company.