LibGuides: ETH100 v1: Module 4 Resources

Module 4 Required Resources

How Then Shall We Live? When AI Takes Over
TEDx Talks. (2023, July 15). How Then Shall We Live? When AI Takes Over [Video]. YouTube.

In this TEDx talk, the speaker explores the implications of artificial intelligence on human life, discussing both the potential benefits and challenges as AI becomes increasingly integrated into society.

USC Center for Artificial Intelligence in Society
University of Southern California. (2016, July 13). USC Center for Artificial Intelligence in Society [Video]. YouTube.

In this video, the University of Southern California announces the launch of the USC Center for Artificial Intelligence in Society (CAIS), a joint collaboration between the USC Suzanne Dworak-Peck School of Social Work and the USC Viterbi School of Engineering.

Using AI to Address HIV Care Rentention
Ridgway, J. (2024, March 26). Predictive analytics for engagement in HIV care [Presentation]. USC CAIS Seminar.

Engagement in care is essential for the health of people with HIV, but only half of people with HIV in the U.S. receive regular medical care. Dr. Ridgway will discuss her research utilizing machine learning models based on electronic medical record data to predict engagement in care among people with HIV. She has developed machine learning models using structured data as well as natural language processing of unstructured clinical notes. She will discuss challenges and pitfalls in utilizing electronic medical record data for HIV-related predictive modeling, as well as implications for implementation in clinical practice.

Insights from Social Network Data for Mitigating Online Harm
University of Southern California. (2016, July 13). USC Center for Artificial Intelligence in Society. Insights from Social Network Data for Mitigating Online Harm

Julie Jiang is a final-year PhD candidate at USC-ISI. As a computational social scientist, her goal is to utilize AI for online social good. Her work has been published at top conferences such as ICWSM, CSCW, CHI, and WWW.

David Shmoys, USC CAIS Seminar, November 20, 2024
University of Southern California. (2024, November 20). David Shmoys, USC CAIS Seminar, November 20, 2024

The American winner-take-all congressional district system empowers politicians to engineer electoral outcomes by manipulating district boundaries. To date, most computational solutions focus on drawing unbiased maps by ignoring political and demographic input, and instead simply optimize for compactness and other related metrics. However, we maintain that this is a flawed approach because compactness and fairness are orthogonal qualities; to achieve a meaningful notion of fairness, one needs to model political and demographic considerations, using historical data. We will discuss a series of papers that explore and develop this perspective.

How Artificial Intelligence Is Helping to Identify Global Inequalities
Ferreira, F. (2024, May 31). How artificial intelligence is helping to identify global inequalities [Video]. YouTube.