By Arunesh Mathur, Arvind Narayanan and Marshini Chetty YouTube has millions of videos similar in spirit to this one: The video reviews Blue Apron—an online grocery service—describing how it is efficient and cheaper than buying groceries at the store. The description of the video has a link to Blue Apron which gets you a $30 […]
Sign up now for the first workshop on Data and Algorithmic Transparency
October 28, 2016 by
I’m excited to announce that registration for the first workshop on Data and Algorithmic Transparency is now open. The workshop will take place at NYU on Nov 19. It convenes an emerging interdisciplinary community that seeks transparency and oversight of data-driven algorithmic systems through empirical research. Despite the short notice of the workshop’s announcement (about […]
The workshop on Data and Algorithmic Transparency
August 10, 2016 by
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 of this shift, empirical investigation of these systems has proved vital to understand the potential for discrimination, privacy breaches, and vulnerability to manipulation. This emerging […]
Revealing Algorithmic Rankers
August 5, 2016 by
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 amplified calls to make algorithms more transparent and accountable. It has never been more clear that algorithms are political (Gillespie) and embody contested choices (Crawford), […]
