Exploring participatory mechanisms for data stewardship – report launch event
Involving people in the design, development and use of data and AI systems
The launch event for the Ada Lovelace Institute’s new research report on participatory data stewardship.
The report takes the view that good data governance should be rights-preserving, informed by values and engaging with questions of fairness, and must involve in meaningful ways the people whose data is used or about which data decisions are taken.
Watch the event back here:
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Chair
Introductory presentation
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Reema Patel
Associate Director (Engagement)
Panellists
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Katherine Reilly
Associate Professor, Simon Fraser University -
Miranda Wolpert
Director of Mental Health, Wellcome Trust
Well-managed data can support organisations, researchers, governments and corporations to conduct lifesaving health research, reduce environmental harms and produce societal value for individuals and communities.
But the current conditions for data collection, storage, sharing and use – and the concentration of power in a small number of technology companies who sustain market dominance by continuing to use extractive data practices – have led to well-publicised misuses of personal data, data breaches and sharing scandals.
These range from the backlash to Care.Data and GPDPR, the much-maligned Ofqual exam results algorithm, through to the response to Cambridge Analytica and Facebook’s collection and use of data for political advertising.
High-profile scandals such as these have resulted in ‘tenuous’ public trust in data sharing, which entrenches public concern about data use and impedes the use of data in the public interest, and the development of trustworthy mechanisms for data governance.
During this event the panellists discuss:
- How to innovate with new mechanisms to involve people, ensuring that data stewardship puts data back into the hands of people and society.
- How to support legitimate data governance through encouraging practices that reject data collection, storage, sharing and use in ways that are opaque or seek to manipulate people.
- How to encourage practices that empower people to help inform, shape and govern their own data.
- What it means to have ‘trustworthiness’ in data and AI systems.
Related content
Participatory data stewardship
A framework for involving people in the use of data
Disambiguating data stewardship
Why what we mean by ‘stewarding data’ matters
Exploring legal mechanisms for data stewardship
A joint publication with the AI Council, which explores three legal mechanisms that could help facilitate responsible data stewardship
Doing good with data: what does good look like when it comes to data stewardship?
Data can help tackle the world’s biggest challenges, if we ask the right questions about governance and apply principles for stewardship.