
Session I:
How Bias in Our World Translates into AI
📖 Suggested Readings
How Computers Misunderstand the World: Basic definitions of key terms used throughout BP
Artificial Intelligence Will Help Determine If You Get Your Next Job: Hiring, bias, and AI
Machine Bias: Biased AI and criminal justice
Gender Bias
Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women
The Apple Card Didn't "See" Gender–And That's the Problem
Healthcare Bias
✔️ Check your understanding with this short quiz.
📝 To Do Before Next Session
💭 Food For Thought
What are 3 main takeaways from these readings?
Why do some algorithms reflect real-world biases? Why are communities of stakeholders important for combatting them?