- 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.
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