Data and Inequality
Resource type
Presentation
Abstract
Data is a powerful tool that could help reduce inequality, enabling us to better understand and quantify key global issues. But machines are inheriting the same biases that exist in the offline world and faulty algorithms, when applied at scale, risk making things less fair than ever.
A recording of the Data Debate that took place on 28 June 2018. Featuring:
Robert Berkeley Broadcasting Editor at BlackOut UK.
Catherine Mayer Writer, activist, speaker, consultant and the co-founder and President of the Women's Equality Party.
Dr. Karen Salt: Assistant Professor in Transnational American Studies at Nottingham University.
Dr. Sandra Wachter: Lawyer, Fellow at The Alan Turing Institute and Research Fellow in Data Ethics, AI, robotics and Internet Regulation/cyber-security at the Oxford Internet Institute.
Hetan Shah: Executive Director of the Royal Statistical Society and visiting professor at the Policy Institute, Kings College London.
Chaired by Timandra Harkness
Contributor (person)
Harkness, Timandra
Funder
| Funder name | Awards |
Arts and Humanities Research Council | |
Economic and Social Research Council (ESRC) | |
Event title
Data Debate: Data and Inequality
Official URL
Additional information
Data Debates is a collaboration between The Alan Turing Institute and the British Library and aims to stimulate discussion on issues surrounding big data, its potential uses, and its implications for society.