Collectively Reimagining Artificial Intelligence With Marginalized Communities

要旨

As artificial intelligence continues to advance, marginalized communities, particularly in Africa, remain limited in their ability to shape what AI should do, how it should be built, and how it might benefit them. This study adopted a speculative co-design approach with participants from Ocean View, a low-income community in South Africa. The aim was to elicit and facilitate collective visions to reimagine the future of AI and explore ways to make AI technologies more culturally relevant. Our findings reveal participants’ perceptions about AI, which informed a collective vision of AI designs that embed the community's local language and culture as well as services aimed at improving the community’s economic opportunities. Based on these insights, we identified directions for ethical AI design for marginalized communities that recognise and preserve cultural identity, needs for affordable AI designs, and the potential of AI for their socio-economic advancement as trajectories within AI research.

著者
Rachel Oluwatuyi
University of Cape Town, Cape Town, South Africa
Vimlan Pillay
University of Cape Town, Cape Town, South Africa
Jasmine Mazwi
Art Vibrations II Inc., Cape Town, South Africa
Alvin Castro
Art Vibrations II Inc., Cape Town, South Africa
Jaydon Farao
University of Cape Town, Cape Town, South Africa
Shreyas Srivatsa
Aruvu Collaboratory LLP, Bangalore, India
Naveen Bagalkot
Aruvu Collaboratory LLP, Bangalore, India
Melissa Densmore
University of Cape Town, Cape Town, South Africa

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Margins

P1 - Room 113
6 件の発表
2026-04-17 20:15:00
2026-04-17 21:45:00