• 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.