Becoming Good at AI for Good

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; Juan M. Lavista Ferres

arXiv · 2104.11757

Becoming Good at AI for Good

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·Juan M. Lavista Ferres

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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.

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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, Juan M. Lavista Ferres. 2021-04-23. Becoming Good at AI for Good. https://arxiv.org/abs/2104.11757

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