Over 40 million people today are trapped in modern slavery and conditions of severe exploitation worldwide. 1/4 of those victims are children, and nearly 71% are women and girls. Governments have fallen behind in their commitments to eradicate modern slavery and achieve UN SDG 8.7 by 2030. Not only are such forms of data on human rights abuses and vulnerabilities can be difficult to collect and patterns of exploitation difficult to see, crises including armed conflict, natural and humanitarian disasters increase vulnerability to certain forms of forced labor, modern slavery, human trafficking, and child labor. In response, some organizations and researchers are looking into available data and the potential of computational science, artificial intelligence, and machine learning tools to help stop modern slavery.
Join us on July 27 to find answers to the following questions and explore practical examples where state-of-the-art AI are combined with novel data streams to advance the eradication of modern slavery:
● How can machine learning shed light on people’s vulnerabilities to crimes of modern slavery and help us better understand the environments at high risk?
● How can data-driven approaches be used to help identify hidden populations targeted for exploitation and detect them before they become vulnerable?
● How can natural language processing assess statements from corporations to honor compliance requirements and hold businesses accountable in a better way?
The speakers will also share how providing domain expertise, lived experiences, and expertise outside of the CS field is vital to this work, in addition to how they ensure protection of privacy and security in their work.
Alice Eckstein, Project Director, Delta 8.7
Doreen Boyd, Rights Lab Associate Director/Professor of Earth Observation, U of Nottingham
Gavin Smith, Assistant Professor N/LAB, U of Nottingham
Adriana-Eufrosina Bora, AI Policy Researcher and Project Manager, The Future Society