Medrado, A. and Verdegem, P. 2024. AI for Social Good? Inspirations from Participatory Action Research (PAR) to Critical Data Studies. London University of Westminster.
| Title | AI for Social Good? Inspirations from Participatory Action Research (PAR) to Critical Data Studies |
|---|---|
| Authors | Medrado, A. and Verdegem, P. |
| Type | Project report |
| Abstract | AI, artificial intelligence, is computer programming that learns and adapts from data. The term is used to describe any computer system that is taught to mimic intelligent human behaviours . There is a lot of hype around AI but the fact is that AI is all around us, everyday. It’s in our phones, in ride hailing apps, recommendation systems, in smart maps, smart cities, facial recognition, biometric technologies and more. A lot of research has been done on what AI can do to solve problems in areas like medicine, engineering, to tackle global challenges, such as the pandemic and climate change. At the same time, there is another story that shows that AI technologies might increase global inequalities, contribute to environmental degradation, and are based on the exploitation of labour and extraction of resources. As such, there is growing evidence that AI is driving/intensifying a new colonial order whereby the Global North profits from the exploitation of the Global South. So, what if AI technologies are actually worsening some of the social problems that we face? Problems like discrimination, racism, social inequalities, unemployment, precarious work? In this project, we reflected upon these and other questions, recognising the need to think critically about: |
| Keywords | Artificial Intelligence |
| Participatory Action Research | |
| Minorities | |
| Social Good | |
| Year | 2024 |
| Publisher | University of Westminster |
| Place of publication | London |
| Publication dates | |
| Published | 09 May 2023 |
| Page range | 1-12 |
| File | File Access Level Open (open metadata and files) |
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AI for Everyone? Critical Perspectives
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The analog switch-off in a cable dominated television landscape. Implications for the transition to digital television in Flanders
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User-centered E-Government in practice: A comprehensive model for measuring user satisfaction
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Profiling the non-user: Rethinking policy initiatives stimulating ICT acceptance
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