£59.80

Cambridge University Press Artificial Intelligence and Social Work

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Description

Product Description 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. Review '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 Book Description An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions. About the Author Milind Tambe is Helen N. and Emmett H. Jones Professor of Engineering and Founding Co-Director of the Center for Artificial Intelligence in Society at the University of Southern California. He is a fellow of the Association for Advancement of Artificial Intelligence (AAAI) and Association for Computing Machinery (ACM), recipient of ACM/SIGAI Autonomous Agents Research Award, Christopher Columbus Fellowship Foundation Homeland security award, INFORMS Wagner prize in Operations Research and others. He has contributed several foundational papers in AI in areas of intelligent agents and computational game theory, which have received best paper awards at major AI conferences including AAMAS, IJCAI, IAAI.Eric Rice is Associate Professor and Founding Co-Director of the Cent

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 November 2018
Listed Since
07 February 2018

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No barcode data available

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