ARTIFICIAL INTELLIGENCE AND SOCIAL WORK

Collaborating with communities for a more just, healthy, and sustainable world.

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ShowCAIS 2024 Abstract Decisions Coming Soon

Our organizers are carefully reviewing the 80+ abstracts submitted for ShowCAIS 2024.  Please watch your emails for abstract decisions on Tuesday, March 5. Thank you!

ShowCAIS 2024

Spring Seminars

We are excited to announce our 3 seminars for this semester. Please join us virtually Tuesday, March 19 for Dr. Alex Hanna and Tuesday, March 26 for Dr. Jessica Ridgway.  Our seminar on Wednesday, April 10 with Dr. Ajitesh Srivastava will be hybrid.  Details for all events including Zoom registration can be found on our events page.

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Meet Our Leadership

Bistra Dilkina
(Director)

Computer Science
Areas: Combinatorial Optimizations, Machine Learning, Sustainable Development

Eric Rice
(Director)

Social Work
Areas: Network Science, Community-based Research, Homelessness

Phebe Vayanos
(Director)

Industrial & Systems Engineering
Areas: Robustness, Interpretability, and Fairness, Public Policy, Homelessness

Ajitesh Srivastava
(Associate Director)

Electrical and Computer Engineering
Areas: Graph Machine Learning, Mathematical Modeling, Public Health

Swabha Swayamdipta
(Associate Director)

Computer Science
Areas: Natural Language Processing, Interpretability, Biases

Lindsay Young
(Associate Director)

Communication
Areas: Network Science, Digital Epidemiology, Health Disparities 

OUR PRIMARY GOAL

Our primary goal in this center is to share our ideas about how AI can be used to tackle the most difficult societal problems. We believe that this agenda can best be achieved by a genuine partnership between AI and social work.

USC CAIS Statement on
Diversity, Equity, and Inclusion

 

Diversity, Equity, and Inclusion (DEI) are highly valued principles at the USC Center for AI in Society (CAIS) and are critical to our pursuit of academic excellence.  In particular, we aim to encourage a culture in which every member of CAIS feels valued, supported and inspired to achieve individual and common goals, no matter his/her/their race, ethnicity, gender identity, sexual orientation, religion, nationality, immigration status, age, disability status, class, economic background, education, color, family structure, background, experience, or beliefs. This includes providing opportunity and access for persons in engineering and social work from historically under-represented or underserved groups.  We recognize the need for research centers like CAIS to not only take a stance on critical social issues, but also to actively engage in dialogue and action on these issues.

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PROJECT CORE AREAS

Become a USC CAIS partner through community projects, funding, volunteering, or research collaboration.

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