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AI in Social Welfare with Haiyi Zhu
Manage episode 435485571 series 3594533
Innehåll tillhandahållet av CMU HCII. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av CMU HCII eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Join us as we chat with Professor Haiyi Zhu about the complex challenges of applying AI to social welfare domains like homelessness and child welfare. Discover why it's crucial to meaningfully involve stakeholders in the development of AI systems aimed at addressing these important societal issues.
Links:
- Professor Zhu’s Personal Website, containing all of her papers: https://haiyizhu.com/
- https://arxiv.org/pdf/2303.09743 (explores various stakeholder perspectives on AI usage in homelessness)
- https://dl.acm.org/doi/pdf/10.1145/3491102.3501831 (how workers reduced racial disparity in child welfare screening processes)
- https://dl.acm.org/doi/pdf/10.1145/3531146.3533177 (investingating alternatives to predictive models in child welfare)
- https://dl.acm.org/doi/pdf/10.1145/3313831.3376783 (integrating community values in a ML algorithm used by Wikepedia)
- https://dl.acm.org/doi/abs/10.1145/3357236.3395528 (how to navigate algorithmic trade-offs for designers)
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