• 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.

If you like what you hear, feel free to visit our ⁠website⁠⁠ and subscribe to our newsletter. You can also follow us on ⁠LinkedIn⁠⁠ and ⁠Instagram⁠⁠.

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