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Developing Practical AI Solutions for Social Benefits
Speaker (s):
Thanh NGUYEN
Assistant Professor,
University of Oregon
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Date:
Time:
Venue:
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5 July 2023, Wednesday
10:00am - 11:00am
SCIS Seminar Room 3-2, Level 3
School of Computing and
Information Systems 1,
Singapore Management University,
80 Stamford Road
Singapore 178902
Please register by 4 July 2023.
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About the Talk
Many real-world problems require the creation of Artificial Intelligence (AI) models which include both learning (i.e., training a predicted model from data) and planning (i.e., producing high-quality decisions based on the predicted model). In this talk, I will discuss practical AI approaches for tackling two concrete instances of such problems in conservation and public health. In particular, I will describe models and algorithms that explore techniques not only in AI but also in other areas including operations research, psychology, and ecology to effectively solve these problems. I will discuss challenges and lessons learned in deploying these solutions in real-world domains. In the end, I will talk about the security of these data-driven decision making algorithms.
About the Speaker
Thanh Nguyen is an Assistant Professor in the Computer and Information Science department at the University of Oregon (UO). Prior to UO, she was a postdoc at the University of Michigan and earned her PhD in Computer Science from the University of Southern California. Thanh’s work in the field of Artificial Intelligence is motivated by real-world societal problems, particularly in the areas of Public Safety and Security, Cybersecurity, and Sustainability. She brings together techniques from multi-agent systems, machine learning, and optimization to solve problems in those areas, with the focus on studying deception in security, and decision-focused adversarial learning. Thanh’s work has been recognized by multiple awards, including the IAAI-16 Deployed Application Award, and the AAMAS-16 Runner-up of the Best Innovative Application Paper Award. Her work in wildlife protection, in particular, has contributed to build PAWS, a well-known AI application for wildlife security, which has been deployed in multiple national parks around the world.
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