CITP Blog is hosted by Princeton University’s Center for Information Technology Policy, a research center that studies digital technologies in public life. Here you’ll find comment and analysis from the digital frontier, written by the Center’s faculty, students, and friends.
-
Since 2013, Brazil has taken significant steps to build out their networking infrastructure to thwart nation-state mass surveillance. For example, the country is deploying a 3,500-mile fiber cable from Fortaleza,…
-
Differential Privacy is Vulnerable to Correlated Data — Introducing Dependent Differential Privacy
[This post is joint work with Princeton graduate student Changchang Liu and IBM researcher Supriyo Chakraborty. See our paper for full details. — Prateek Mittal ] The tussle between data…
-
Language necessarily contains human biases, and so will machines trained on language corpora
I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled Semantics derived automatically from language corpora necessarily contain human biases. We show empirically that natural language necessarily contains…
-
Security against Election Hacking – Part 2: Cyberoffense is not the best cyberdefense!
State and county election officials across the country employ thousands of computers in election administration, most of them are connected (from time to time) to the internet (or exchange data…
-
Security against Election Hacking – Part 1: Software Independence
There’s been a lot of discussion of whether the November 2016 U.S. election can be hacked. Should the U.S. Government designate all the states’ and counties’ election computers as “critical…
-
The workshop on Data and Algorithmic Transparency
From online advertising to Uber to predictive policing, algorithmic systems powered by personal data affect more and more of our lives. As our society begins to grapple with the consequences…
-
A response to the National Association of Secretaries of State
Election administration in the United States is largely managed state-by-state, with a small amount of Federal involvement. This generally means that each state’s chief election official is that state’s Secretary…
-
Supplement for Revealing Algorithmic Rankers (Table 1)
Table 1: A ranking of Computer Science departments per csrankings.org, with additional attributes from the NRC assessment dataset. Here, the average count computes the geometric mean of the adjusted number…
-
Revealing Algorithmic Rankers
By Julia Stoyanovich (Assistant Professor of Computer Science, Drexel University) and Ellen P. Goodman (Professor, Rutgers Law School) ProPublica’s story on “machine bias” in an algorithm used for sentencing defendants…