590Q schedule - Google Drive

590Q schedule : winter 2020


1
2	(Mondays @ 1:30 in DB lab, CSE 291 (Allen Center), unless noted otherwise) Topic: Responsible Data Management
3
4	Date	Topic	Presenter(s)	Paper 1	Paper 2	Paper 3?
5	1/13/2020	Introduction	Dan	based on lecture1 of the NYU course (see below)
6	1/20/2020	HOLIDAY
7	1/27/2020	Sources of unfairness	Khang+Maureen	Blog: How big data is unfair	COMPAS Story, ProPublica
8	2/3/2020	Statistical definitions of discrimination	Sahil	Fairness Definitions Explained	Survey (working paper)
9	2/10/2020	Impossibility results	Jack+Alex	Fair Prediction with Disparate Impact	Inherent Trade-Offs in the Fair Determination of Risk Scores
10	2/17/2020	HOLIDAY
11	2/24/2020	Critique of ML algorithms	Josh	The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning
12	2/28/2020	Principles of Interpretability	Mike (Friday)	Towards a Rigorous Science of Interpretable Machine Learning	The Mythos of Model Interpretability
13	3/2/2020	Two approaches for explanation	Remy	"Why Should I Trust You?"	Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
14	3/9/2020	Building Interpretable models	Jonathan	Please Stop Explaining Black Box Models	An Interpretable Model
15
16	Additional Material
17		Must watch (if you haven't already)	Capuchin video
18		Introduction	NYU Course on Reponsible Data Science
19
20		Other seminars	Diversity in Big Data: A Review. Marina Drosou, H.V. Jagadish, Evaggelia Pitoura, Julia Stoyanovich
21			Semantics derived automatically from language corpora contain human-like biases. Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan
22			The frontiers of fairness in machine learning. A Chouldechova, A Roth
23			Algorithmic decision making and the cost of fairness
24			Equality of Opportunity in Supervised Learning
25			Algorithmic decision making and the cost of fairness
26
27
28		Journalistic Investigations	Minority Neighborhoods Pay Higher Car Insurance Premiums Than White Areas With the Same Risk. ProPublica. 2017.
29			ProPublica Seeks Source Code for New York City’s Disputed DNA Software. ProPublica. 2017.
30			Inside the Algorithm That Tries to Predict Gun Violence in Chicago. New York Times. 2017.
31			What Happens When An Algorithm Cuts Your Health Care. The Verge. 2018.
32			Aggression Detectors: The Unproven, Invasive Surveillance Technology Schools Are Using to Monitor Students. ProPublica. 2019
33			What a Report from Germany Teaches Us About Investigating Algorithms. Columbia Journalism Review. 2019.
34			Keep Track Of Who Facebook Thinks You Know With This Nifty Tool. Gizmodo. 2018
35
36		Northpointe's response to ProPublica	COMPAS Risk Scales: Demonstrating Accuracy Equity and Predictive Parity
37
38
39
40		Causal approach to fairness	Interventional Fairness: Causal Database Repair for Algorithmic Fairness

Published by Google Sheets–Report Abuse–Updated automatically every 5 minutes