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  • PhD Defense- Ninareh Mehrabi

    Mon, Nov 21, 2022 @ 10:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Candidate: Ninareh Mehrabi
    Date: Monday, November 21st, 2022
    Time: 10:00 am - noon PT
    Zoom Meeting ID: 986 7933 6430
    Passcode: 813783
    Or via URL: https://usc.zoom.us/j/98679336430?pwd=akpBV05CQ3o5VVlwWnpxT2piVlB3QT09

    Title: Responsible Artificial Intelligence for a Complex World

    Abstract: With the advancement of Artificial Intelligence (AI) and its omnipresent role in different applications, it is crucial to ensure that AI systems comply with responsible practices. Moreover, the environment in which AI systems learn and interact with contains various external factors that might adversely affect their behavior. Thus, those systems should be able to mitigate potentially negative impacts of such factors. This dissertation explores several important dimensions that are essential for designing responsible AI systems. First, we focus on fairness as a central concept for responsible AI systems and analyze existing biases in various data sources and models. Moreover, we describe a framework based on interpretability for generating fair and equitable outcomes. Second, we discuss robustness to external perturbations as another important property for such systems. Next, we discuss human-centered AI systems which take natural language prompts as input, demonstrate possible issues due to ambiguous interpretation of those prompts, and describe a framework for resolving such ambiguities and generating faithful outcomes to human intention. Finally, we discuss ideas for designing AI systems that can internalize ethics and form a realization about the consequences of tasks and design choices associated with them. We hope that the contributions presented in this dissertation will move us closer to having more responsible AI systems.

    WebCast Link: https://usc.zoom.us/j/98679336430?pwd=akpBV05CQ3o5VVlwWnpxT2piVlB3QT09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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