Artificial Intelligence for Social Good

TL;DR

This paper summarizes a workshop discussing how artificial intelligence can be applied to address social challenges across urban, health, environmental, and public welfare domains, emphasizing current deployments and future opportunities.

Contribution

It provides an overview of discussions on AI applications for social good, highlighting challenges, opportunities, and crosscutting issues from a major workshop.

Findings

AI deployments in social domains are increasing.

Key challenges include ethical and technical issues.

Opportunities span multiple societal sectors.

Abstract

The Computing Community Consortium (CCC), along with the White House Office of Science and Technology Policy (OSTP), and the Association for the Advancement of Artificial Intelligence (AAAI), co-sponsored a public workshop on Artificial Intelligence for Social Good on June 7th, 2016 in Washington, DC. This was one of five workshops that OSTP co-sponsored and held around the country to spur public dialogue on artificial intelligence, machine learning, and to identify challenges and opportunities related to AI. In the AI for Social Good workshop, the successful deployments and the potential use of AI in various topics that are essential for social good were discussed, including but not limited to urban computing, health, environmental sustainability, and public welfare. This report highlights each of these as well as a number of crosscutting issues.