automated prediction

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Automated Prediction Perception, Law, and Policy

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Page 1: Automated Prediction

Automated Prediction

Perception, Law, and Policy

Page 2: Automated Prediction

Overview

• Author

• Introducing Automated Prediction

• The Case For AP

• Other Considerations & Challenges

• Take Aways

• Discussion

Page 3: Automated Prediction

Author

Dr. Tal Zarsky

Page 4: Automated Prediction

BIG DATAPredictive Analytics

Automated Prediction (AP)

Page 5: Automated Prediction

Automated Prediction (AP)

(Personal Information)

AP 3000

IN

OUTCRIME

PREDICTION

Page 6: Automated Prediction

Automated Prediction (AP)

Page 7: Automated Prediction

KEYWORD

IP ADDRESS WEBSITE

ASSOCIATION

PURCHASE

TARGET POOL

Probability

High

Automated Prediction (AP)

Page 8: Automated Prediction

War on Terror

Page 9: Automated Prediction

nctc.gov

-McKean, Virginia

Page 10: Automated Prediction

The Greater Good?

PrivacySafetyvs

Page 11: Automated Prediction

Cost & Efficiency

Human Driven Computer Driven

Page 12: Automated Prediction

Vast Amounts of Data

- Hard for humans to analyze- Easily analyzed by computers- Programmed by humans - Errors and Bias

Page 13: Automated Prediction

We Make Mistakes

Page 14: Automated Prediction

Hidden Biases

Values

Beliefs

Prejudice

Identity

Culture

Status

Emotion

Page 15: Automated Prediction

Equality & Fairness

Page 16: Automated Prediction

Take Aways

• AP will be hard to do right but the positives outweigh the negatives

• Good for some complex and costlyproblems - hopefully terrorism

• If done right, AP will increase equality & fairness

Page 17: Automated Prediction

Questions Comments

- Robot Fortune Teller London, England 1934