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  3. Artificial Intelligence for Social Good

Artificial intelligence has a diversity of applications, many with societal benefits. Books in this series will offer a multidisciplinary perspective on these applications, ranging from social work to healthcare, to environmental sciences. Each book will survey the AI approaches to a particular societal problem and promising research directions, with case study examples.

  • General Editors: Amulya Yadav, The Pennsylvania State University
  • Founding Editors: Eric Rice, University of Southern California, Milind Tambe, Harvard University, Massachusetts
  • Editorial Boards: Jeff Brantingham, University of California, Mark Fox, University of Toronto, Carla Gomes, Cornell University, New York, Michael Littman, Brown University, Rhode Island, Desmond Patton, Columbia, University, New York, Andrew Plumptre, Key Biodiversity Areas Secretariat

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2 results in Artificial Intelligence for Social Good

Artificial Intelligence and Conservation
  • Edited by Fei Fang, Milind Tambe, Bistra Dilkina, Andrew J. Plumptre
  • Published online:
    18 March 2019
    Print publication:
    28 March 2019
  • With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.

Artificial Intelligence and Social Work
  • Edited by Milind Tambe, Eric Rice
  • Published online:
    24 November 2018
    Print publication:
    29 November 2018
  • This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principles of using AI for social work interventions, the book describes in detail an intervention to increase the spread of HIV information by using algorithms to determine the key individuals in a social network of homeless youth. Other chapters present interdisciplinary collaborations between AI and social work students, including a chatbot for sexual health information and algorithms to determine who is at higher stress among persons with Type 2 Diabetes. For students, academic researchers, industry leaders, and practitioners, these real-life examples from the USC Center for Artificial Intelligence in Society demonstrate how social work and artificial intelligence can be used in tandem for the greater good.