Distinguished Faculty Lecture Series
Established in 1974, the annual Distinguished Faculty Lecture is dedicated to acknowledging the work of our most esteemed and accomplished faculty members. The lecture series not only honors individual faculty members and their achievements, but also celebrates the values of academic excellence that we share as a community. Each honoree is presented with the Chancellor’s Medal, the highest recognition bestowed upon faculty by the campus, at the conclusion of the lecture.
All lectures begin at 4 p.m. in the Great Hall, Old Chapel. The lectures are free and open to the public.
Upcoming in 2019
Professor Carol E. Heim
Department of Economics
Wednesday, March 27, 2019
Who Pays, Who Benefits, Who Decides? Property Developers and the Political Economy of Urban Growth
Property developers reap a return sometimes called "development gain," which is over and above the ordinary rate of profit. They often use legal and political means to increase their share of economic value created through urban development. Their interests are sometimes, but not always, in alignment with the public good. Historical research on the boom cities of Chicago and Phoenix, particularly concerning infrastructure finance, illustrates their goals and activities. Examination of current policy issues in cities such as Houston and Miami, which are facing severe impacts of natural disasters and climate change, also provides opportunities to explore the role of developers in U.S. cities and suburbs.
College of Information and Computer Sciences
Thursday, April 18, 2019
AI Will Change Everything, But Not So Fast
The field of artificial intelligence (AI) is experiencing a golden age. Scientific breakthroughs and game-changing technologies are rapidly altering the way we live, work, communicate, and entertain. Investment in AI is booming. Meanwhile, success stories and inevitable failures fuel speculations about the aggregate impact of AI on society. In this talk, I give a historical perspective on the development of AI, including the pattern of research leaps followed by exaggerated expectations. With today’s best AI methods, it is easy to create a grandmaster chess player, but replicating the common sense of a three-year-old child remains elusive. I will examine these challenges using insights from my research on automated reasoning, autonomous driving, and human-in-the-loop AI. The ability to sustain progress and responsibly deploy AI technology depends on a far better understanding of how humans use common sense to handle ordinary situations that they encounter every day.