What is ethical tech vs predatory tech?
What is algorithmic oppression?
Can training data be biased?
Is bias present when mal intent is absent?
Is it okay if there is no mal intent?
How does language and history impact the code we write?
How does perspective influence the technology we build and the people we build technology for?
Are all people represented in the data equally?
Is Facial Recognition Technology (FRT) biased / safe to use for all people alike?
Why does it matter if training data doesn't represent intersectional identities?
Are the big tech companies perpetuating these biases?
Should tech companies be held accountable?
Check out this episode to find out the answers to the above!
Books referenced:
Wordslut: A Feminist Guide to Taking Back the English Language by Amanda Montell
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech by Meredith Broussard
Whistleblower: My Journey to Silicon Valley and Fight for Justice at Uber by Susan Fowler
You can check out our website for more book suggestions.
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Tune in next week for an interview with Meredith Broussard, who discusses her latest book - More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech.
#algorithmicbias #predatorytech #TechnicallyBiasedPodcast
