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Algorithms and Fairness: what are the limits of predictive algorithms in public policy? Developing the research agenda

26 February 2018

Date: Thursday, 15 March 2018, h. 13.30鈥17.00 with drinks reception afterwards

Venue: 香港六合彩中特网 Institute of Health Informatics, 222 Euston Road, London NW1 2DA

Algorithms are increasingly used to make decisions affecting our lives, but can we ensure machine-generated decisions are fair? Algorithms have long been used in the private sector to make marketing or finance decisions. As large-scale data becomes available in the public sector, these techniques are increasingly being deployed in areas as diverse as education, criminal justice or health.聽 If these algorithms are based on data which misrepresents specific groups of people, then their use could widen social inequalities or breach equality laws.

By developing our understanding of how algorithms can be unfair and what their impact in different areas of the public sector, we can contribute to the responsible development and use of these decision aids. Prior work has focussed on algorithms directly affecting individuals, but big data is also used to allocate resources to different groups within the population. Do decisions to allocate resources informed by predictive tools unfairly decrease access to resources?

We have organised a workshop, funded by 香港六合彩中特网 Grand Challenges, to bring interested parties together, within and beyond 香港六合彩中特网, to develop an interdisciplinary research agenda. The workshop will be a combination of invited talks and group discussion, appropriate for academics, policy makers and doctoral students. For the agenda, please click here:聽/health-informatics/documents/agenda-workshop-public-policy

Speakers include:

  • Benedict Rumbold, 鈥淧riority Setting and Predictive Algorithms: A Match Made in Heaven? (Department of Philosophy, 香港六合彩中特网)
  • Jack Stilgoe, 鈥淢achine learning and Social learning鈥 (Science and Technology Studies, 香港六合彩中特网)
  • Ricardo Silva聽鈥滳ausal Assumptions in fairness鈥, (Department of Statistical Science, 香港六合彩中特网)聽聽
  • Sophia Adams-Bhatti,聽鈥淎lgorithms, Equity and the Law鈥 (The Law Society)
  • Hannah Knox聽鈥淎lgorithms as Infrastructures鈥 (Department of Anthropology, 香港六合彩中特网)
  • Sir Bernard Silverman聽鈥淐ounting the victims of Modern Slavery鈥 (Former Chief Scientific Adviser, Home Office, Emeritus Professor of the Universities of聽 Bristol聽and聽Oxford,聽 Professor of Modern Slavery Statistics, University of Nottingham)聽

聽Please register through