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Artificial Intelligence and Social Work [Kietas viršelis]

Edited by (University of Southern California), Edited by (University of Southern California)
  • Formatas: Hardback, 266 pages, aukštis x plotis x storis: 235x157x20 mm, weight: 500 g, Worked examples or Exercises
  • Serija: Artificial Intelligence for Social Good
  • Išleidimo metai: 29-Nov-2018
  • Leidėjas: Cambridge University Press
  • ISBN-10: 1108425992
  • ISBN-13: 9781108425995
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 266 pages, aukštis x plotis x storis: 235x157x20 mm, weight: 500 g, Worked examples or Exercises
  • Serija: Artificial Intelligence for Social Good
  • Išleidimo metai: 29-Nov-2018
  • Leidėjas: Cambridge University Press
  • ISBN-10: 1108425992
  • ISBN-13: 9781108425995
Kitos knygos pagal šią temą:
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.

For students, academic researchers, industry leaders, and practitioners, this introductory guide shows how social work and artificial intelligence can be combined for the greater good. Real-life examples of work with homeless youth, diabetes patients, and other interventions provide inspiration for readers to apply such methods to their own work.

Recenzijos

'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

Daugiau informacijos

An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.
Contributors vii
PART I
1(90)
1 Merging Social Work Science and Computer Science for Social Good
3(13)
Eric Rice
Milind Tambe
2 The Causes and Consequences of Youth Homelessness
16(22)
Eric Rice
Hailey Winetrobe
3 Using Social Networks to Raise HIV Awareness among Homeless Youth
38(19)
Amulya Yadav
Bryan Wilder
Hau Chan
Albert Jiang
Haifeng Xu
Eric Rice
Milind Tambe
4 Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application
57(20)
Amulya Yadav
Bryan Wilder
Eric Rice
Robin Petering
Jaih Craddock
Amanda Yoshioka-Maxwell
Mary Hemler
Laura Onasch-Vera
Milind Tambe
Darlene Woo
5 Influence Maximization with Unknown Network Structure
77(14)
Bryan Wilder
Nicole Immorlica
Eric Rice
Milind Tambe
PART II
91(159)
6 Maximizing the Spread of Sexual Health Information in a Multimodal Communication Network of Young Black Women
93(26)
Elizabeth Bondi
Jaih Craddock
Rebecca Funke
Chloe LeGendre
Vivek Tiwari
7 Minimizing Violence in Homeless Youth
119(17)
Ajitesh Srivastava
Robin Petering
Michail Misyrlis
8 Artificial Intelligence for Improving Access to Sexual Health Necessities for Youth Experiencing Homelessness
136(17)
Aida Rahmattalabi
Laura Onasch-Vera
Orlando Roybal
Kien Nguyen
Luan Tran
Robin Petering
Professor Eric Rice
Professor Milind Tambe
9 Know-Stress: Predictive Modeling of Stress among Diabetes Patients under Varying Conditions
153(16)
Subhasree Sengupta
Kexin Yu
Behnam Tahiti
10 A Multidisciplinary Study on the Relationship between Foster Care Attributes and Posttraumatic Stress Disorder Symptoms on Foster Youth
169(26)
Amanda Yoshioka-Maxwell
Shahrzad Gholami
Emily Sheng
Mary Hemler
Tanachat Nilanon
Ali Jalal-Kamali
11 Artificial Intelligence to Predict Intimate Partner Violence Perpetration
195(16)
Robin Petering
Mee-Young Urn
Nazanin Alipourfard
Nazgol Tavabi
Rajni Kumari
Setareh Nasihati Gilani
12 SHIHbot: Sexual Health Information on HIV/AIDS, chatbot
211(20)
Joshua Rusow
Jacqueline Brixey
Rens Hoegen
Lan Wei
Karan Singla
Xusen Yin
13 Ethics and Artificial Intelligence in Public Health Social Work
231(19)
David Gray Grant
Glossary 250(5)
Elizabeth Bondi
Mee-Young Urn
Index 255
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 Center for Artificial Intelligence in Society at the University of Southern California. An expert in community-based research and social network science and theory, he has spent the past several years working to merge social work science and AI to create solutions for major social problems such as homelessness and HIV. Since 2002, he has worked closely with homeless youth providers in Los Angeles and many other communities across the country to develop novel solutions to support young people across the nation who do not have a home, with the goal of ending youth homelessness.