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PRICING ALGORITHMS
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Classroom Contents
An AI with an Agenda - How Our Cognitive Biases Leak Into Machine Learning
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- 1 Intro
- 2 REAL CONSEQUENCES
- 3 KNOW WHAT QUESTION YOU'RE ASKING UP FRONT
- 4 USE CONDITIONAL PROBABILITY OVER CORRELATION
- 5 MORTGAGE LENDING ANALYSIS
- 6 BUILD A BETTER DATA SET!
- 7 BEWARE SHADOW COLUMNS
- 8 MAKE SURE YOUR SAMPLE SET IS REPRESENTATIVE
- 9 KEEP IN MIND YOU NEED TO KNOW WHO CAN BE AFFECTED IN ORDER TO UN-BIAS
- 10 PRICING ALGORITHMS
- 11 WHAT IF AMAZON BUILT A SALARY TOOL INSTEAD?
- 12 THE BRATWURST PROBLEM
- 13 MORE COMPLEX ALGORITHMS THAT INCLUDE OUTSIDE INFLUENCE
- 14 VERIFY AND CHECK SOLUTIONS DERIVED FROM SIMULATION
- 15 MANY AI/ML TOOLS ARE TRAINED TO MINIMIZE AVERAGE LOSS
- 16 REPRESENTATION DISPARITY
- 17 DISTRIBUTIONALLY ROBUST OPTIMIZATION
- 18 WHAT HAPPENS TO PEOPLE WHO USE DIALECT?
- 19 PREDICTIVE POLICING
- 20 LOOK TO CONTROL ENGINEERING
- 21 ABIDE BY ETHICS GUIDELINES
- 22 Transparency of Use Transparency of Algorithms
