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Human vs. Algorithmic-Decision Making:

Bias, Fairness & Transparency

Reading list

Part I : Bias

Lec #

Date

Papers to be reviewed & discussed

Lecture slides

B1

23.10.15

Course Introduction

Slides

B2

30.10.15

  • Linguistic models for analyzing and detecting biased language (pdf)
  • It's a Man's Wikipedia? Assessing Gender Inequality in an Online Encyclopedia (pdf)

B3

06.11.15

  • Fightin’ words : Lexical feature selection and evaluation for identifying the content of political conflict (pdf)
  • Message Impartiality in Social Media Discussions

B4

13.11.15

  • Exposure to ideologically diverse news and opinions on Facebook (pdf)
  • Characterizing Information Diets of Social Media Users (pdf)

Part II : Fairness

Lec #

Date

Papers to be reviewed & discussed

Lecture slides

F1

20.11.15

Fairness Introduction

  • Discrimination : Stanford Encyclopedia of Philosophy (weblink)

Slides

F2

27.11.15

  • The Discovery of Discrimination (pdf)
  • k-NN as an Implementation of Situation Testing for Discrimination Discovery and Prevention (pdf)

F3

04.12.15

  • Classification with No Discrimination by Preferential Sampling (pdf)
  • Learning Fair Classifiers (pdf)

F4

11.12.15

  • Pretrial Risk Assessment in the Federal Court (pdf)

Part III : Transparency

Lec #

Date

Papers to be reviewed & discussed

Lecture slides

T1

08.01.16

Transparency Introduction

Slides

T2

15.01.16

  • Third-Party Web Tracking: Policy and Technology (pdf)
  • (OPTIONAL) Privacy leakage vs. Protection measures: the growing disconnect (pdf)

T3

22.01.16

  • XRay: Enhancing the Web’s Transparency with Differential Correlation (pdf)

T4

29.01.16

  • Measuring Price Discrimination and Steering on E-commerce Web Sites (pdf)




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