Ethnography for Artificial Intelligence
An introduction to ethnography for Artificial Intelligence as well as conversational analysis and its relevance to AI.
An introduction to ethnography for Artificial Intelligence as well as conversational analysis and its relevance to AI.
Machine learning is increasingly being adopted by various domains: governments, credit, recruiting, advertising, and many others. Fairness and equality are critical aspects, especially in light of anti-discriminatory laws in these domains. Opaque machine learning models:…
Defining pragmatics has not been easy. We discuss the major themes that have been dealt with in the field: The macro perspective: Speech Act Theory The micro perspective: Cooperative Principles and Implicature Merging the macro…
At the Microsoft Research Montreal lab, one of our primary research focuses is to advance the field of Question Answering. Automatic question-answering systems can provide humans with efficient access to vast amounts of information, and…
Overview of important methods and techniques applied in user studies from the perspective of academic research, and also from the perspective of product development. The talk is ended with two examples of projects done at…
An overview of how Automatic Speech Recognition systems work and some of the challenges.
Part 2 of Alan W Black’s Spoken Dialogue Systems talk based on lectures he gave at Carnegie Mellon University.