Lecture or Panel
Title: AI-assisted Interventions to Promote Healthy and Sustainable Food Choice
Abstract: AI tools create new opportunities to assist policy-makers. For example, enabling healthy and sustainable diets is key to addressing preventable diseases. How can computational methods help policy-makers in developing interventions that address these societal challenges? I develop causal inference tools for explaining decision-making and AI and LLM methods for implementing novel interventions. I will describe how social factors affect food choice in campus communities and talk about work that mined these insights to assist chefs and food scientists by revising menus and products. These new causal inference and LLM methods advance the foundations for technology to support policy-making and interventions. These studies have had a real impact, affecting thousands of people within a university campus, in partnerships with real-world organizations and companies. My work expands how AI tools can positively affect society, improving diets, health, and sustainability.
Kristina Gligorić is an Assistant Professor in the Computer Science Department, Whiting School of Engineering at Johns Hopkins University. She is also affiliated with the Data Science and AI Institute (DSAI) and the Center for Language and Speech Processing (CLSP).
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