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

Thursday, March 15, 2018 from 1:30 PM to 5:00 PM (GMT)

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 POSTPONED UNTIL FURTHER NOTICE

 

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

DATE: Thursday 15th March

13.30 – 17.00 with drinks reception afterwards

UCL Institute of Health Informatics, Room G01,

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.  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 UCL Grand Challenges, to bring interested parties together, within and beyond UCL, 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. Speakers include:

  •  Benedict Rumbold Priority Setting and Predictive Algorithms: A Match Made in Heaven?
  • Jack Stilgoe Machine learning and Social learning”

           (Science and Technology Studies, UCL)

  • Ricardo Silva Causal Assumptions in fairness”

           (Department of Statistical Science, UCL)  

  • Sophia Adams-Bhatti, “Algorithms, Equity and the Law”

         (The Law Society)

  •  Hannah Knox Algorithms as Infrastructures

          (Department of Anthropology, UCL)

  • Sir Bernard Silverman “Counting the victims of Modern Slavery “

          (Former Chief Scientific Adviser, Home Office, Emeritus Professor of the Universities of  Bristol and Oxford,  Professor of Modern Slavery Statistics, University of Nottingham)

 

Have questions about Algorithms and Fairness: What are the limits of predictive algorithms in public policy? Developing the research agenda? Contact the organizer

When & Where


Room G01
UCL Institute of Health Informatics
222 Euston Road
NW1 2DA London
United Kingdom

Thursday, March 15, 2018 from 1:30 PM to 5:00 PM (GMT)


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