Research Highlights

Automotive Ethics Laboratory

Fully Automated Vehicles (AVs) can eliminate brakes and steering wheels, that is, human drivers. AVs of the highest level may have human occupants, but no human drivers. The acquired skill of driving a car or truck will migrate into the development of Automotive Artificial Intelligence (AAI). AAI will pilot cargo (including humans) through traffic more securely and efficiently than the current system of manned vehicles. It will perceive and evaluate rapidly changing traffic situations much faster and more comprehensively than a human brain. Hence, it will steer AVs more competently and with fewer accidents.

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NYS Solid Waste Characterization Grant

This goal of this research project, sponsored by the New York State Department of Environmental Conservation (NYSDEC), is to explore how solid waste and recycling is currently transpiring in New York State and develop recommendations for how it can be improved to achieve a more environmentally sustainable New York.

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Technology and Engineering Education

Our global economy and rapid rate of technological advances presents pressing challenges for our times. With technology being embedded in nearly all aspects of our lives, engineers and applied scientists need to be cognizant of the impact that those technologies have, on the individuals that use them and the societies they live within. The UN's Guiding Principles for Business and Human Rights, and current standards adopted by the organizations such as IEEE and the ACM, impel us to be more mindful of the need for diversity, equity and inclusion. They also encourage us to be more mindful of the impact of technologies on societies and the environment.

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Responsible and Societal AI

AI has the potential to accelerate scientific discovery and transform healthcare, education, and public life. Realizing that potential, however, requires responsible design, development, and deployment to ensure systems are fair, transparent, accountable, and worthy of public trust. Our work takes a socio-technical, human-centered approach to AI across its entire life cycle, examining its design, implementation, governance, and societal impacts. Through interdisciplinary research spanning human-centered AI, human-computer interaction (HCI), computational social science, Science and Technology Studies (STS), and technology policy, we advance intelligent systems that are safe, trustworthy, and beneficial to society.

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