Building on the most comprehensive collection of the AI and Social Good (AISG) literature to date with over 1000 contributed papers, we provide a detailed account and analysis of the work under the theme in the following ways.

1. We quantitatively analyze the distribution and trend of the AISG literature in terms of application domains and AI techniques used.
2. We propose three conceptual methods to systematically group the existing literature and analyze the eight AISG application domains in a unified framework.
3. We distill five research topics that represent the common challenges in AISG across various application domains.
4. We discuss five issues that, we hope, can shed light on the future development of the AISG research.

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