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Virtual event Data for the public good

Redesigning fairness: concepts, contexts and complexities

Exploring the foundational premises for delivering ‘world-leading data protection standards’ that benefit people and achieve societal goals

Uses of data: research, justice and medical research
Date and time
2:00pm – 3:00pm, 27 October 2021 (BST)

On 10 September, the UK Government published its proposal for amending the current data protection regime (the UK GDPR). The aim is to create ‘a pro-growth and pro-innovation data regime whilst maintaining the UK’s world-leading data protection standards’.

At the Ada Lovelace Institute, our mission is to ensure that data and AI work for people and society. In order to explore whether the Government’s plans will enable these aims, we are organising a series of five events, each looking at different sections, questions, statements and framing in the Government’s consultation and asking what benefits and challenges are brought by the proposals.

Session 4: Redesigning fairness: concepts, contexts and complexities

Wednesday 27 October, 14:00-15:00 BST

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Chair

Panellists

  • Agathe Balayn

    PhD candidate, Delft University of Technology
  • Damian Clifford

    Senior Lecturer, Australian National University College of Law
  • Renée Cummings

    AI Ethicist, Data Activist in Residence, University of Virginia and Community Scholar, Columbia University
  • Sandra Wachter

    Associate Professor and Senior Research Fellow, Oxford Internet Institute

The fourth event in our series focuses on fairness in the use of data and artificial intelligence. This is a particular focus of chapter 1 of the consultation, where Government seeks views on how ‘fairness’ should be defined and delivered and suggests collecting more sensitive personal data in order to monitor bias.

This event explores questions such as:

  • How should we think about ‘fairness’ and how can fair use of data for AI be achieved?
  • What obligations, assessments and safeguards are necessary and appropriate for trustworthy AI systems?
  • What opportunities and challenges are brought by the proposed measures?

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