000			03687nam a22002297a 4500
999			_c4121 _d4121
005			20221114111536.0
008			221114b ||||| |||| 00| 0 eng d
020			_a9781108444347
082			_a361.3028563 _bTAM
245			_aArtificial intelligence and social work
260			_bCambridge University Press _aCambridge _c2021
300			_aix, 257 p.
365			_aGBP _b27.99
504			_aTable of Contents Part I: 1. Artificial intelligence and social work Eric Rice and Milind Tambe 2. The causes and consequences of youth homelessness Eric Rice and Hailey Winetrobe 3. Using social networks to raise HIV awareness among homeless youth Amulya Yadav, Bryan Wilder, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice and Milind Tambe 4. Influence maximization in the field Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe and Darlene Woo 5. Influence maximization with unknown network structure Bryan Wilder, Nicole Immorlica, Eric Rice and Milind Tambe Part II: 6. Maximizing the spread of sexual health information in a multimodal communication network of young black women Elizabeth Bondi, Jaih Craddock, Rebecca Funke, Chloe Legendre and Vivek Tiwari 7. Minimizing violence in homeless youth Ajitesh Srivastava, Robin Petering and Michail Misyrlis 8. Artificial intelligence for improving access to sexual health necessities for youth experiencing homelessness Aida Rahmattalabi, Laura Onasch-Vera, Orlando Roybal, Kien Nguyen, Luan Tran and Robin Petering 9. Know-stress Subhasree Sengupta, Kexin Yu and Behnam Zahiri 10. A multidisciplinary study on the relationship between foster care attributes and posttraumatic stress disorder symptoms in foster youth Amanda Yoshioka-Maxwell, Shahrzad Gholami, Emily Sheng, Mary Hemler, Tanachat Nilanon and Ali Jalal-Kamali 11. Artificial intelligence to predict intimate partner violence perpetration Robin Petering, Mee-Young Um, Nazanin Alipourfard, Nazgol Tavabi, Rajni Kumari and Setareh Nasihati Gilani 12. SHIHbot Joshua Rusow, Jacqueline Brixey, Rens Hoegen, Lan Wei, Karan Singla and Xusen Yin 13. Ethics and artificial intelligence in public health social work David Gray Grant.
520			_aThis 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. Demonstrates the potential for artificial intelligence to be used for social good Provides several real-life examples that represent a broad range of topics and populations Includes a discussion on the ethical principles of using artificial intelligence for social work interventions
650			_aSocial justice _97198
650			_aSocial service--Technological innovations _99980
650			_aArtificial intelligence _91478
700			_aTambe, Milind _99981
700			_aRice, Eric _99982
942			_2ddc _cBK