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The AI for social good movement has now reached a state in which a largenumber of one-off demonstrations have illustrated that partnerships of AIpractitioners and social change organizations are possible and can addressproblems faced in sustainable development. In this paper, we discuss how movingfrom demonstrations to true impact on humanity will require a different courseof action, namely open platforms containing foundational AI capabilities tosupport common needs of multiple organizations working in similar topicalareas. We lend credence to this proposal by describing three example patternsof social good problems and their AI-based solutions: natural languageprocessing for making sense of international development reports, causalinference for providing guidance to vulnerable individuals, anddiscrimination-aware classification for supporting unbiased allocationdecisions. We argue that the development of such platforms will be possiblethrough convenings of social change organizations, AI companies, andgrantmaking foundations.

Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact