Crowd-Training Machine Learning Systems for Human Rights Abuse Documentation

Authors

  • Jay Aronson Carnegie Mellon University

Abstract

In this talk I will describe efforts being undertaken in a collaboration between human rights advocates and computer scientists at Carnegie Mellon University to develop tools, methods and algorithms that will make it easier to semi-automate the process of video forensics for human rights purposes.

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Published

2014-10-14

How to Cite

Aronson, J. (2014). Crowd-Training Machine Learning Systems for Human Rights Abuse Documentation. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2(1). Retrieved from https://ojs.aaai.org/index.php/HCOMP/article/view/13218