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1
Introduction
2
Presentation
3
Research Agenda
4
Data Privacy
5
Anonymization
6
Privacy
7
Differential Privacy
8
Randomized Response
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Google Heat Maps
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The 2020 Census
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Fairness
12
Example
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Defining Fairness
14
The Left Turn
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Navigation Apps
16
QA
Description:
Explore the ethical implications of algorithms in this thought-provoking lecture by Michael Kearns from the University of Pennsylvania. Delve into crucial topics such as data privacy, anonymization techniques, and the concept of differential privacy. Examine real-world applications like Google Heat Maps and the 2020 Census to understand the challenges of maintaining privacy in the digital age. Investigate the complex issue of fairness in algorithmic decision-making, using practical examples to illustrate key concepts. Learn about the research agenda driving advancements in ethical algorithm design and implementation. Engage with the speaker during a Q&A session to further explore these critical issues shaping our increasingly data-driven world.

The Ethical Algorithm

Simons Institute
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