Artificial Intelligence and Social Work

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.

• 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.

'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