Artificial Intelligence and Social Work

'Tambe and Rice have created a novel collaboration which brings together computer science and social work researchers to address seemingly intractable social challenges. The variety of problems described in the collection on which cross-disciplinary teams have already made progress makes evident the promise of this new type of collaboration. The final chapter's thoughtful consideration of the ethical issues such work raises is a model for taking ethics into account from the start of designing artificial intelligence systems.' Barbara Grosz, Harvard University, Massachusetts
'This book frankly acknowledges both striking creative possibility as well striking inequalities, unmet need and devastating consequences in today's complex society. More than ever we need capacity to think, create, and problem solve in innovative ways: to leverage our technological and social tools toward more nimbly dissipating seemingly intractable social problems. This collection offers a bold vision in this regard, demonstrating what unanticipated partners - social work scientists and computer scientists - can accomplish. It provides valuable guidance highly relevant not only for these two sets of scholars and field partners, but what multiple disciplines and stakeholders can work toward. Rather than remaining in initial levels of aspirational ideas, these authors provide a panoply of concrete, detailed, and accessible innovations that move to operationalize AI for social good. Kudos, colleagues!' Paula S. Nurius, University of Washington
'The time has come for social work to engage deeply with those from computer science, data science, and engineering to work towards greater social good. This book boldly claims that space. Tambe and Rice bring the power of artificial intelligence to social work in a way that is engaging and easy to understand. Their inclusion of real world examples shows the reader how this can be done. Bravo for helping bridge the gap between these fields in an effort to improve the world.' Stephanie Cosner Berzin, Simmons University, Massachusetts