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Events for December 06, 2024

  • PhD Thesis Proposal - Elizabeth Ondula

    Fri, Dec 06, 2024 @ 10:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    University Calendar


    Title: Evaluating AI Model Decisions in Dynamic Environments      
     
    Date and Time: December 6, 2024 Time: 10 - 11am      
     
    Location: KAP 150       
     
    Guidance Committee Members: Bhaskar Krishnamachari (Chair), Jyotirmoy Deshmukh, Bistra Dilkina, Shanghua Teng, Timothy Pinkston.      
     
    Abstract: Artificial Intelligence (AI) models demonstrate adaptability by adjusting to changing environments and leveraging real-world data to improve performance. Despite this capability that enables handling of complex processes and tasks, these models often face challenges with explainability and effective decision-making in dynamic environments where conditions evolve over time. My research investigates how AI models can effectively navigate trade-offs in decision optimization within complex dynamic environments. I address this fundamental challenge through two key areas: reinforcement learning for epidemic control and language-based multi-agent systems for decision-making. In my first project, I explore optimization of campus occupancy decisions during epidemics using reinforcement learning algorithms to balance educational benefits with safety constraints. In my second project, I investigate sentiment-driven opinion dynamics and collective decision-making with a focus on developing frameworks that account for cognitive biases in multi-agent interactions. Though in different domains, both areas reveal the challenges of balancing competing objectives in dynamically evolving settings. My work advances AI decision-making tools that improve adaptability and robustness through systematic analysis of environmental dynamics and agent behaviors. This research builds a foundation for my proposed thesis on evaluating how AI models make and adapt decisions in dynamic environments, demonstrated through applications in epidemic control and collective decision-making.      
     
    Zoom: https://usc.zoom.us/j/99774865637

    Location: Kaprielian Hall (KAP) - 150

    Audiences: Everyone Is Invited

    Contact: Elizabeth Ondula


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

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