Most of the AI systems today are driven by three key components (i) data (ii) common sense knowledge and (iii) powerful learning algorithms which can harness this data and knowledge to learn task specific meaningful…
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…
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…
Microsoft Research India started project MEC to understand the adoption of quality educational content in India and how technology can help uplift this adoption rate. The platform saw great adoption in India, Middle East, and…
