Schedule

Critical Questions for Big Data, dana boyd & Kate Crawford.  Information, Communication & Society, 2012. link (QCR #1)

Big Data, Machine Learning, and the Social Sciences: Fairness, Accountability, and Transparency, Hanna Wallach, Medium, 2014. link (QCR #2)

Differential Privacy Survey, Cynthia Dwork, reading #1  (QCR #3)

Differential Privacy at Apple, Abhishek Bhowmick, Julien Freudiger, Abhradeep Thakurta, Andy Vyrros, reading #2 (no QCR required)

supplemental material: Data confidentiality: A review of
methods for statistical disclosure
limitation and methods for
assessing privacy, Gregory J. Matthews and Ofer Harel, Statistics Surveys, vol 5, 2011.  paper

Research Priorities for Robust and Beneficial Artificial Intelligence,
Stuart Russell, Daniel Dewey, Max Tegmark, AAAI 2015.  paper (QCR #4) [link updated] 

Equality of Opportunity in Supervised Learning, Moritz Hardt, Eric Price, Nathan Srebro, 2016.  https://arxiv.org/abs/1610.02413   (QCR #5)

Survey of interpretability: The Mythos of Model Interpretability https://arxiv.org/abs/1606.03490
(QCR #6)
"Why Should I Trust You?": Explaining the Predictions of Any Classifier: https://arxiv.org/abs/1602.04938. (skim, no QCR)

Please install for hand-on session:

Link to slides: https://cs.nyu.edu/~shalit/tutorial.html

Midterm Project Proposal due

Donoho, D. et al. (2009), Reproducible research in computational harmonic analysis, Comp. Sci. Eng. 11(1):8–18, doi: 10.1109/MCSE.2009.15

M. Liberman, “Replicability vs. reproducibility — or is it the other way around?,” Oct. 2015, http://languagelog.ldc.upenn.edu/nll/?p=21956

QCR #7

Why Self-Driving Cars Must Be Programmed to Kill, MIT Technology Review, 2015  pdf

Should we  be scared of self-driving cars after the Uberfatality? MIT Technology Review, 2018 pdf

QCR #8

Governing Lethal Autonomous Weapon Systems

Reading #2:Defending the Boundary: Constraints and requirements on the use of autonomous Weapon systems under international humanitarian and human rights law (skim)

QCR #9