Due by classtime on Week 10.
Choose one of the following reports about bias in AI and answer these questions:
- What was the input data?
- How did the process work?
- What “latent variables” produced bias in the outcome? That is, what part of the data caused the algorithm to produce bias?
- Is the process salvageable?
Submit your response via the assignment in BruinLearn.
Reports of bias in AI
- “Crime Prediction Software Promised to Be Free of Biases. New Data Shows It Perpetuates Them“
- “Dozens of Mortgage Lenders Showed Significant Disparities. Here Are the Worst“
- “If AI is going to be the world’s doctor, it needs better textbooks“
- “Machine Bias: There’s software used across the country to predict future criminals. And it’s biased against blacks“
- “A Health Care Algorithm Offered Less Care to Black Patients“