Scenario-based XAI for Humanitarian Aid Forecasting

Author:

Andres Josh1,Wolf Christine T.2,Cabrero Barros Sergio3,Oduor Erick4,Nair Rahul3,Kjærum Alexander5,Tharsgaard Anders Bech5,Madsen Bo Schwartz5

Affiliation:

1. IBM Research, Melbourne, VIC, Australia

2. IBM Research, San Jose, CA, USA

3. IBM Research, Dublin, Ireland

4. IBM Research, Nairobi, Kenya

5. Danish Refugee Council, Copenhagen, Denmark

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An explainable forecasting system for humanitarian needs assessment;AI Magazine;2023-10-05

2. A machine learning approach to deal with ambiguity in the humanitarian decision‐making;Production and Operations Management;2023-05-09

3. Predictive modelling of movements of refugees and internally displaced people: towards a computational framework;Journal of Ethnic and Migration Studies;2022-08-16

4. How Can We Develop Explainable Systems? Insights from a Literature Review and an Interview Study;Proceedings of the International Conference on Software and System Processes and International Conference on Global Software Engineering;2022-05-19

5. People First, Data Second: A Humanitarian Research Framework for Fieldwork with Refugees by War Zones;Computer Supported Cooperative Work (CSCW);2022-03-24

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