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Powerful new technologies like OpenAI’s “ChatGPT” or Google’s “Bard” have sparked excitement over the potential they have to transform how we work, learn and…
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May 4th, 2023 Department
Center for Information Technology Policy Location
Arthur Lewis Auditorium, Robertson Hall, Princeton University
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Machine learning (ML) is being deployed to a vast array of real-world
applications with profound impacts on society. ML can have positive
impacts, such as aiding in the discovery of new cures for…
Date
April 18th, 2023 Speaker
Peter Henderson Department
Center for Information Technology Policy Location
CS105
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Recent, dramatic increases in life-threatening self-harm and hospitalizations of young people due to mental disorders has motivated efforts to preemptively identify suffering individuals and connect…
Date
May 5th, 2023 Speaker
Yubi Mamiya, UG '26 Department
Computer Science
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The emergence of large language models (LLMs) represents a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and…
Date
March 28th, 2023 Speaker
Jakob Mokander Department
Center for Information Technology Policy Location
306 Sherrerd Hall
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Are Asian Americans people of color? At the outset of his most famous 1903 essay, W.E.B. Du Bois writes: “the problem of the twentieth century is the problem of the color line.” But in…
Date
May 4th, 2023 Speaker
Zi Liu, UG '24 Department
Sociology
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Turbulence modeling can shed light on the physics that occurs at the boundary between ocean waves and overhead wind, which is useful in the fields of oceanography, renewable energy, weather…
Date
May 4th, 2023 Speaker
Vassiliki Mancoridis, UG '24 (2986906) Department
Computer Science
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You might have wondered what underlying mechanism and models does the famous ChatGPT, the Artificial Intelligence (AI) chat assistant employs. The T of the GPT, that is the Generative Pre-trained…
Date
May 4th, 2023 Speaker
Alkin Kaz, UG '23 Department
Electrical Engineering
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Many researchers have used models and equations to explain how human cooperation evolved. The current research shows that these cooperative behaviors can only spread throughout a population when…
Date
May 4th, 2023 Speaker
Megan Specht, UG '23 Department
Ecology and Evolutionary Biology
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Two-dimensional human pose estimation is a challenging task, where the goal is to localize key anatomical landmarks (e.g. elbows, knees, shoulders), given an image of a person in some pose. Current…
Date
May 4th, 2023 Speaker
Nobline Yoo, UG '23 (2272767) Department
Computer Science
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Information retrieval (IR) is the task of learning useful ways of representing text documents that allow us to efficiently relevant the most relevant documents for a given query, e.g. by encoding…
Date
May 4th, 2023 Speaker
Michael Tang, UG '24 (2272401) Department
Computer Science
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Venture capital allows startups to scale and be successful quickly, yet women have historically been excluded from a majority of this funding. We explore the potential explanation that investors ask…
Date
May 4th, 2023 Speaker
Alison Lee, UG '24 Department
Computer Science
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With the rapid development of large-scale and complex generative AI models, there is a there is a demand for new tools to explain the inner workings and behavior of such systems. While various visual…
Date
May 4th, 2023 Speaker
Adam Kelch, UG '24 (2262505) Department
Computer Science
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Stigmatizing language in medical notes can prevent a patient from acquiring proper treatment. Reading medical notes containing biased language can influence subsequent clinicians’ perception of…
Date
May 4th, 2023 Speaker
Abinitha Gourabathina, UG '23 Department
Operations Research and Financial Engineering
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