Integrative urban AI to expand coverage, access, and equity of urban data
العنوان: | Integrative urban AI to expand coverage, access, and equity of urban data |
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المؤلفون: | Bill Howe, Jackson Maxfield Brown, Bin Han, Bernease Herman, Nic Weber, An Yan, Sean Yang, Yiwei Yang |
المصدر: | The European Physical Journal Special Topics. 231:1741-1752 |
بيانات النشر: | Springer Science and Business Media LLC, 2022. |
سنة النشر: | 2022 |
مصطلحات موضوعية: | General Physics and Astronomy, General Materials Science, Physical and Theoretical Chemistry |
الوصف: | We consider the use of AI techniques to expand the coverage, access, and equity of urban data. We aim to enable holistic research on city dynamics, steering AI research attention away from profit-oriented, societally harmful applications (e.g., facial recognition) and toward foundational questions in mobility, participatory governance, and justice. By making available high-quality, multi-variate, cross-scale data for research, we aim to link the macrostudy of cities as complex systems with the reductionist view of cities as an assembly of independent prediction tasks. We identify four research areas in AI for cities as key enablers: interpolation and extrapolation of spatiotemporal data, using NLP techniques to model speech- and text-intensive governance activities, exploiting ontology modeling in learning tasks, and understanding the interaction of fairness and interpretability in sensitive contexts. |
تدمد: | 1951-6401 1951-6355 |
DOI: | 10.1140/epjs/s11734-022-00475-z |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2789b44611137a962035033359701a4 https://doi.org/10.1140/epjs/s11734-022-00475-z |
Rights: | CLOSED |
رقم الانضمام: | edsair.doi.dedup.....d2789b44611137a962035033359701a4 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 19516401 19516355 |
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DOI: | 10.1140/epjs/s11734-022-00475-z |