Algorithmic Decision Making in Bureaucracy, Public Policy, and The City

Here you can see the slides from my research presentation And here is my executive summary

Reports, Research Papers, and Press Releases

As a great resource for all of our classes' discussions on AI I want to point out first the AI Now annual report. AI Now Institute is a research institute (within NYU! we can go talk to them) focused on interdisciplinary research on the social impacts of AI.

Journalism, Think-pieces, and Analysis

Right now a big cluttered list

• Shannon Mattern arguing against computational thinking in urban space, the piece that started me thinking about this topic

• Wired goes deep on China’s social credit score

• Propublica’s fantastic reporting series on machine bias lead by Julia Angwin and Lauren Kirchner

• The New Yorker on New York City’s recent algorithmic transparency law

• Electronic Frontier Foundation’s report on facial recognition in policing

• The Atlantic on Alphabet’s growing role in Toronto

• Data and Society’s Rebecca Wexler on automation in criminal justice

• The Verge breaking Palantir’s secret contract with New Orleans

• The technology trade journal Spectrum IEEE on predicting neighborhood income with Google street view data

• ITP’s own Mimi Onuoha on systems of algorithmic violence

• The Economists’s cautious endoresment of government use of machine learning

• The Wire on Microsoft’s contracts with Andhra Pradesh

Books

A list of books fleshing out a variety of important background information as well as providing analysis. I have most of these if anyone wants to borrow.

• Weapons of Math Destruction - Cathy O’Neil

• Algorithms of Oppression - Safiya Umoja Noble

• Seeing Like A State - James C. Scott

• Utopia of Rules - David Graeber

• Against the Smart City - Adam Greenfield