Code 8.7: Conference Report

Landman, Todd, Trodd, Zoe, Darnton, Hannah, Durgana, Davina, Moote, Kilian, Jones, Paul, Setter, Chloe, Bliss, Nadya, Powell, Sharlena and Cockayne, James ed. Code 8.7: Conference Report 2019/02/19-20 New York. New York: United Nations University, 2019.

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Conference Proceeding
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UNU-CPR Conference Proceedings

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    Author Landman, Todd
    Trodd, Zoe
    Darnton, Hannah
    Durgana, Davina
    Moote, Kilian
    Jones, Paul
    Setter, Chloe
    Bliss, Nadya
    Powell, Sharlena
    Cockayne, James
    Event series Code 8.7
    Title of Event Code 8.7: Conference Report
    Date of Event 2019/02/19-20
    Place of Event New York
    Organizer United Nations University Centre for Policy Research
    The Alan Turing Institute
    Computing Community Consortium
    Tech Against Trafficking
    Rights Lab
    Arizona State University
    Publication Date 2019-03-30
    Place of Publication New York
    Publisher United Nations University
    Pages 32
    Language eng
    Abstract The Code 8.7 Conference Report provides a summary of the Code 8.7 event that took place in February 2019. The conference, organized by Delta 8.7, The Alan Turing Institute, the Computing Community Consortium, Tech Against Trafficking, the Rights Lab and the Global Security Initiative at Arizona State University, brought together the artificial intelligence, machine learning, computational science and anti-slavery communities. Over two days, more than 30 speakers and 120 participants discussed how these technologies could be used to help in the fight to eradicate forced labour, modern slavery, human trafficking and child labour in line with Target 8.7 of the Sustainable Development Goals. The report highlights some of the key conversations that took place over the two days of the conference, including how best to combine Big Data and Small Data, the possibilities of information and communications technology (ICT) for survivor self-identification and the roles of satellite remote sensing, crowd-computing and open digital maps to better visualize slavery locations, and the next steps for continued collaboration between the anti-slavery and tech communities.
    UNBIS Thesaurus FORCED LABOUR
    CHILD LABOUR
    SLAVERY
    DIGITAL TECHNOLOGY
    ARTIFICIAL INTELLIGENCE
    TRAFFICKING IN PERSONS
    Keyword Modern slavery
    Emerging technologies
    Machine learning
    Copyright Holder United Nations University
    Copyright Year 2019
    Copyright type Creative commons
    ISBN 978928086564
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