Contributed Talk

Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research

Talk based on paper with co-authors: Emma Brunskill. The current flood of information in all areas of machine learning research, from computer vision to reinforcement learning, has made it difficult to make aggregate scientific inferences. It can be …

Ethical Challenges in Data-Driven Dialogue Systems

Talk based on work with co-authors: Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau. The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent paradigm. A …