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.
https://mediaspace.gatech.edu/media/pineau.mpg/1_9dkguko4
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