Work

Crowd-Training Machine Learning Systems for Human Rights Abuse Documentation

Year: 2014

Type: conference-abstract

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.

Source: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

DOI: 10.1609/hcomp.v2i1.13218

Author: Jay Aronson

Institution: Carnegie Mellon University

Language: English

Topic: Digital Media Forensic Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: diamond

OpenAlex ID: W1619394889

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