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AI in Social Welfare with Haiyi Zhu
Manage episode 435485571 series 3594533
A tartalmat a CMU HCII biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a CMU HCII vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.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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