AI in Health Panel
October 15th, 10:00am-11:00am, Emerson Hall 135
This panel will discuss how artificial intelligence is impacting health and wellbeing, the potentialities and challenges of the utilization of algorithmic systems in diagnoses and care, and critiques of the digitization of health-related data.
The Panelists
Dan AdlerDan Adler's work focuses on closing research to practice gaps in utilizing technology for remote mental health symptom management and early intervention. Many technology-based solutions utilize AI for mental health symptom measurement. Lately, he has been thinking about if/how these AI-solutions generalize, and which specific populations these solutions are most appropriate for.
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Chinasa OkoloChinasa T. Okolo is a Ph.D. student in the Department of Computer Science at Cornell University. Her research interests include the ethics of artificial intelligence (AI), computer vision, global health, and information & communication technologies for development. Chinasa's research leverages ethnographic methods to understand how frontline healthcare workers in low-resource regions perceive and value AI and examines FATE (fairness, accountability, transparency, and ethics) in AI-enabled technologies deployed throughout the Global South, with a focus on healthcare. Her work has been supported by The National GEM Consortium, Oracle Corporation, and the North American Network Operators' Group (NANOG). Chinasa holds a Bachelor’s degree in Computer Science from Pomona College and has previously interned at Microsoft Research and Apple.
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Dr. Emma PiersonEmma Pierson is an assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, and a computer science field member at Cornell University. She develops data science and machine learning methods to study inequality and healthcare. Her work has been recognized by a Rhodes Scholarship, Hertz Fellowship, Rising Star in EECS, MIT Technology Review 35 Innovators Under 35, and Forbes 30 Under 30 in Science. She has written for The New York Times, FiveThirtyEight, The Atlantic, The Washington Post, Wired, and various other publications.
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The Moderator
Dr. Qian Yang
Qian Yang is an assistant professor in information science. As a human-AI interaction researcher, she helps translate AI's algorithmic advances into valuable real-world applications that serve human ends. Yang has so far designed several high-consequence AI applications: from decision support systems for life-and-death healthcare decisions (i.e. artificial heart implants and cancer diagnoses) to context-aware mobile services, from Natural Language Generation systems to autonomous cars. Building upon this related vein of practice, she works to inform a basic understanding of AI as a material for HCI design. In addition, she innovates methods and tools for the UX design and HCI practicing communities, helping them to better integrate AI into their day-to-day practices.
