Upcoming TCSDLS Events

Where Natural Language Processing Meets Societal Needs

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Kathleen McKeown
Location
LSRC D106
Date and Time
-

The large amount of language available online today makes it possible to think about how to learn from this language to help address needs faced by society. In this talk, I will describe research in our group on summarization and social media analysis that addresses several different challenges. We have developed approaches that can be used to help people live and work in today’s global world, approaches to help determine where problems lie following a disaster, and approaches to identify when the social media posts of gang-involved youth in Chicago express either aggression or loss.

Digital Forensics: From Photoshop to Deep Fakes

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Hany Farid
Location
LSRC D106
Date and Time
-

The past few years have seen a startling and troubling rise in the fake-news phenomena in which everyone from individuals to state-sponsored entities can produce and distribute mis-information. The implications of fake news range from a mis-informed public to an existential threat to democracy, and horrific violence. At the same time, recent and rapid advances in machine learning are making it easier than ever to create sophisticated and compelling fake images and videos, making the fake-news phenomena even more powerful and dangerous.

Putting Ethical AI to the Vote

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Ariel Procaccia
Location
LSRC D106
Date and Time
-

I will present the 'virtual democracy' framework for the design of ethical AI. In a nutshell, the framework consists of three steps: first, collect preferences from voters on example dilemmas; second, learn models of their preferences, which generalize to any (previously unseen) dilemma; and third, at runtime, predict the voters' preferences on the current dilemma, and aggregate these virtual 'votes' using a voting rule to reach a decision.