Code 8.7: Introduction
The Code 8.7 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 for the first time in February 2019. 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 event examined the value of machine learning to the anti-slavery community, 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. Throughout the two days of plenary sessions and hothouses, there were conversations around the biases found in data, the need to understand modern slavery prevalence, how to use financial data to identify trafficking and the role of survivors as subjects and researchers.
Below are articles that discuss the conversations and key takeaways from each session written by the rapporteur or discussant. More information about the event, including videos and speaker presentations, can be found on the Code 8.7 page. Download a PDF of the complete symposium from UNU Collections here.
Find each rapporteur’s overview of each Code 8.7 session below:
Todd Landman, Rights Lab
Zoe Trodd, Rights Lab
Davina Durgana, Walk Free Foundation
Hannah Darnton, Tech Against Trafficking
Kilian Moote, KnowTheChain
Paul Jones (The Alan Turing Institute) and Chloe Setter (Lumos Foundation)
Nadya Bliss, Arizona State University Global Security Initiative
James Cockayne, UN University Centre for Policy Research
Sharlena Powell, Voices of Women
The Code 8.7 Organizing Committee