November 18, 2019

166 words 1 min read

Machine learning for human rights advocacy: Big benefits, serious consequences

Machine learning for human rights advocacy: Big benefits, serious consequences

Megan Price demonstrates how machine-learning methods help us determine what we know, and what we don't, about the ongoing conflict in Syria. Megan then explains why these methods can be crucial to better understand patterns of violence, enabling better policy decisions, resource allocation, and ultimately, accountability and justice.

Talk Title Machine learning for human rights advocacy: Big benefits, serious consequences
Speakers Megan Price (Human Rights Data Analysis Group)
Conference Strata + Hadoop World
Conf Tag Making Data Work
Location London, United Kingdom
Date June 1-3, 2016
URL Talk Page
Slides
Video Talk Video

The same machine-learning methods used to learn about customers, improve speech recognition, and identify cat faces can also be applied to questions about conflict violence. Megan Price demonstrates how machine-learning methods help us determine what we know, and what we don’t, about the ongoing conflict in Syria. Megan then explains why these methods can be crucial to better understand patterns of violence, enabling better policy decisions, resource allocation, and ultimately, accountability and justice.

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