Crowd-Training Machine Learning Systems for Human Rights Abuse Documentation

Authors

  • Jay Aronson Carnegie Mellon University

DOI:

https://doi.org/10.1609/hcomp.v2i1.13218

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.

Downloads

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), 2. https://doi.org/10.1609/hcomp.v2i1.13218

Issue

Vol. 2 (2014): Second AAAI Conference on Human Computation and Crowdsourcing

Section

Workshop Citizen + X