IACS Brown Bag Lunch: Deep Human-Machine Integrated Learning for Assistive Computer Agents

IACS Brown Bag: Machine learning transformed our reality. On a daily basis, computers are making consequential decisions that affect millions of human lives, in split seconds, at immense scale, and almost without human supervision. But the cost of machine teaching: cleaning, constructing, training, tuning, and deploying predictive models - is incredibly high. On the other hand human learning and teaching has gone somewhat static for the past few millennia! In this talk I will suggest a cross between deep machine learning and human learning into a unified framework, which may provide a more gentle integration of assistive AI in the lives of tech-averse persons (such as the elderly).

BIO: Roy Shilkrot is an Assistant Professor in the Stony Brook University computer science department, with a joint appointment in the consortium for Digital Arts Culture and Technology (cDACT). Lab website: http://hi.cs.stonybrook.edu
Time: 3/7/18 12:00pm
IACS Seminar Room

https://www.iacs.stonybrook.edu/event/seminars/iacs-brown-bag-lunch-deep-human-machine-integrated-learning-for-assistive-computer