Valuing lived experience and co-design solutions to counter racial inequality in data and algorithmic systems in UK’s digital services

Author:

Quyoum Aunam1,Wong Mark1

Affiliation:

1. Urban Studies, University of Glasgow, Glasgow, UK

Funder

UKRI Strategic Priorities Fund

Publisher

Informa UK Limited

Reference51 articles.

1. Ada Lovelace Institute. (2021a). Participatory data stewardship: A framework for involving people in the use of data. https://www.adalovelaceinstitute.org/report/participatory-data-stewardship/.

2. Ada Lovelace Institute. (2021b). Algorithmic accountability for the public sector. AI Now Institute and Open Government Partnership. https://www.opengovpartnership.org/documents/algorithmic-accountability-public-sector/.

3. Ada Lovelace Institute. (2022). Algorithmic impact assessment: a case study in healthcare. https://www.adalovelaceinstitute.org/wp-content/uploads/2022/02/Algorithmic-impact-assessment-a-case-study-in-healthcare.pdf.

4. Adib-Moghaddam, A. (2023). Is artificial intelligence racist? Bloomsbury.

5. Amnesty International. (2018). Trapped in the matrix: Secrecy stigma and bias in the Met’s gangs database. Amnesty International United Kingdom Section. https://www.amnesty.org.uk/files/2018-05/Trapped%20in%20the%20Matrix%20Amnesty%20report.pdf?HSxuOpdpZW_8neOqHt_Kxu1DKk_gHtSL.

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