Becoming good at AI for Good

This article shares learning from AI people for AI people, highlighting aspects of successful collaboration broken down into communication, data, modeling and impact. The authors present 11 key takeaways about doing AI for good projects better in the future. 

Date published: 2021/09/18

Title: Becoming Good at AI for Good

Authors: Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, and Juan M. Lavista Ferres

Journal: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Citation: Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, and Juan M. Lavista Ferres. 2021. Becoming Good at AI for Good. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21), May 19–21, 2021, Virtual Event, USA. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3461702.3462599

Open Access: No. Full text available on Microsoft site here

Abstract

AI for Good (AI4G) projects involve developing and applying artificial intelligence (AI) based solutions to further goals in areas such as sustainability, health, humanitarian aid, and social justice. Developing and deploying such solutions must be done in collaboration with partners who are experts in the domain in question and who already have experience in making progress towards such goals. Based on our experiences, we detail the different aspects of this type of collaboration broken down into four high-level categories: communication, data, modeling, and impact, and distill eleven takeaways to guide such projects in the future. We briefly describe two case studies to illustrate how some of these takeaways were applied in practice during our past collaborations.

Keywords: AI for good; collaboration; sustainability; case study

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