Alison Gillwald
Real name
Member for
5 months 4 weeks
First name
Alison
Last name
Gillwald
Organization
Research ICT Africa/ University of Cape Town
Country
South Africa
Website
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Author
Author Profile
Alison Gillwald (PhD) is the Executive Director of Research ICT Africa (RIA), an African digital policy and regulatory think-tank based in South Africa. She is also an adjunct professor at the
University of Cape Town’s Nelson Mandela School of Public Governance. A former broadcasting and telecommunications regulator she has published widely on and been actively involved in internet and data governance. She serve on the expert group and recently co-led the Data Justice workstream of the Global Partnership on Artificial Intelligence (GPAI) and was commissioned to
provide background research to UNESCO’s Guidelines on Platform Regulation. She serves on the Digital Inclusion Roundtable of the UN Secretary General’s Digital Cooperation Roadmap. Alison
leads RIA’s technical assistance to the African Union Commission on the AU Data Policy Framework and implementation plan. She authored the background paper for the UN Women CSW 67 in 2023, using RIA data to analyse intersectional digital inequality, linking it to data injustice and its manifestations in artificial intelligence.
University of Cape Town’s Nelson Mandela School of Public Governance. A former broadcasting and telecommunications regulator she has published widely on and been actively involved in internet and data governance. She serve on the expert group and recently co-led the Data Justice workstream of the Global Partnership on Artificial Intelligence (GPAI) and was commissioned to
provide background research to UNESCO’s Guidelines on Platform Regulation. She serves on the Digital Inclusion Roundtable of the UN Secretary General’s Digital Cooperation Roadmap. Alison
leads RIA’s technical assistance to the African Union Commission on the AU Data Policy Framework and implementation plan. She authored the background paper for the UN Women CSW 67 in 2023, using RIA data to analyse intersectional digital inequality, linking it to data injustice and its manifestations in artificial intelligence.