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Workshop on Data and Algorithmic TransparencyHome page of the 2016 Workshop on Data and Algorithmic Transparency
http://www.datworkshop.org/
Home page of the 2016 Workshop on Data and Algorithmic Transparency
http://www.datworkshop.org/
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Workshop on Data and Algorithmic Transparency | datworkshop.org Reviews
https://datworkshop.org
Home page of the 2016 Workshop on Data and Algorithmic Transparency
Freedom to Tinker — Research and expert commentary on digital technologies in public life
https://freedom-to-tinker.com/blog
August 22, 2016. Research and expert commentary on digital technologies in public life. Security against Election Hacking – Part 2: Cyberoffense is not the best cyberdefense! August 18, 2016. 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 cartridges with machines that are connected). In my previous post. I explained how we must audit elections. Don’t include a...
July 2016 – Nikolaos Laoutaris
http://laoutaris.info/index.php/2016/07
Speaking & Writing. Workshop on Data and Algorithmic Transparency (DAT’16). After popular demand, here comes DAT. A venue dedicated to transparency related research. Co-located this year with the main DTL Conf. Nov 19, Columbia University, New York. July 19, 2016. Leave a comment on Workshop on Data and Algorithmic Transparency (DAT’16). The role and importance of Context and Verifiability in Data Protection. 8221; and “ shifts. 8221; reports). With this post I would like to discuss two issues that h...
Arvind Narayanan
https://freedom-to-tinker.com/blog/author/randomwalker
August 25, 2016. Research and expert commentary on digital technologies in public life. Proposal. You can follow Arvind on Twitter at @random walker. And on Google here. Language necessarily contains human biases, and so will machines trained on language corpora. August 24, 2016. I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled. Semantics derived automatically from language corpora necessarily contain human biases. Specifically, we look at. These include innocuous, universal as...
Home :: FAT ML
http://www.fatml.org/index.html
November 18th 2016 /. New York University, NYC. Fairness, Accountability, and Transparency in Machine Learning. Co-located with the Data Transparency Lab Conference. And the Workshop on Data and Algorithmic Transparency. Bringing together a growing community of researchers and practitioners concerned with fairness, accountability, and transparency in machine learning. The goal of our 2016 workshop. And the Workshop on Data and Algorithmic Transparency. NYU Technology Law and Policy Clinic.
Workshop on Data and Algorithmic Transparency (DAT’16) – Nikolaos Laoutaris
http://laoutaris.info/index.php/2016/07/19/workshop-on-data-and-algorithmic-transparency-dat16
Speaking & Writing. Workshop on Data and Algorithmic Transparency (DAT’16). After popular demand, here comes DAT. A venue dedicated to transparency related research. Co-located this year with the main DTL Conf. Nov 19, Columbia University, New York. July 19, 2016. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. The role and importance of Context and Verifiability in Data Protection. User profiling in the time of HTTPS. DTL Award Grants’16 summary.
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Workshop on Data and Algorithmic Transparency
Venue, Hotel, Travel. Workshop on Data and Algorithmic Transparency (DAT'16). November 19, 2016, New York University Law School. Co-located with the Data Transparency Lab Conference. And the FATML'16 Workshop. Workshop on Data and Algorithmic Transparency (DAT'16). November 19, 2016, New York University Law School. Co-located with the Data Transparency Lab Conference. And the FATML'16 Workshop. And the FATML'16 Workshop. And we encourage attendees to consider attending these other events as well. Transpa...
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