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.
