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CRCS Lunch Seminar

Content tagged with CRCS Lunch Seminar

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Rada Mihalcea (University of Michigan)

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Why AI is W.E.I.R.D and shouldn’t be this way Recent years have witnessed remarkable advancements in AI, with language and vision models that have enabled progress in numerous applications and opened the door to the integration of AI in areas such as...

Danielle Bitterman (Mass General Brigham)

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Evaluating the quality and risks of language models for healthcare There is immense enthusiasm about the potential of large language models to support clinical and administrative workflows in healthcare. In fact, large language models are currently being...

Judd Walson (Johns Hopkins University)

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Targeting vulnerability; differentiating mortality risk to improve child survival Despite remarkable reductions in child mortality globally, more than 5 million children continue to die annually. Most of these deaths occur in low-income and middle-income...

Kentaro Toyama (University of Michigan)

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What Good is AI for Good? Recent advances in AI have led to renewed optimism about computing's ability to help solve world problems, whether it's to cure disease, rein in climate change, improve education, or alleviate poverty. By now, however, we have...

David Rolnick (McGill University)

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Talk Title: Tackling climate change with machine learning: An opportunity for application-driven innovation Machine learning is increasingly being called upon to help address climate change, from processing satellite imagery to modeling Earth systems...

CRCS Seminar Series - Frank Dignum PhD, Umeå University

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Talk Title: Intelligence is Social Many of the research in AI is devoted to create systems that perform tasks or functions for which we think humans need intelligence. Famous are things like playing chess or go, but classification and decision making are...

Alexandra To (Northeastern University)

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Talk Title: Designing Technology for BIPOC Joy and Flourishing Research and design in human-computer interaction centers problem-solving, causing an unintended downstream effect of framing work centering marginalized communities predominantly from the...

Lester Mackey, PhD, Microsoft Research

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Talk Title: Doing Some Good with Machine Learning This is the story of my assorted attempts to do some good with machine learning. Through its telling, I’ll highlight several models of organizing social good efforts, describe half a dozen social good...

Suresh Venkatasubramanian (Brown University)

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Talk Title: The moral salience of the algorithmic lens Our world today is filtered through the algorithmic lens -- a vast assemblage of algorithmic tools and data that mediate our experience of life, work, and health. This lens reveals and distorts: it...

Tawanna Dillahunt (University of Michigan)

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Talk title: Reimagining Tech Design: Crafting Inclusive Futures Through Alternative Narratives Talk Abstract: Technology permeates nearly every facet of our lives—it shapes our health and well-being, transforms our work and workplaces, and revolutionizes...