(Georgia Institute of Technology, 2018-02-22)
Pineau, Joelle
The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent
paradigm. A growing number of dialogue systems use conversation strategies that are learned from
large datasets. In this talk I will review several recent models and algorithms based on both
discriminative and generative models, and discuss new results on the proper performance measures
for such systems. Finally, I will highlight potential ethical issues that arise in dialogue systems
research, including: implicit biases, adversarial examples, privacy violations, and safety concerns.