For the 2023 version of this class, please go here: https://sites.google.com/ualberta.ca/cmput656f23/home

Time: September 1 - December  3, Tuesday/Thursday, 11:00 AM - 12:20 PM MT

Live stream: If you go to the YouTube channel for the course and around 11am, you can refresh and see the live stream. We'll also post the streaming link in Discord.

Recordings: Available on our YouTube playlist. 

Slides: Will be available after class here. (Remember, all of my slides are free to reuse with a CC 4.0 license.)


Overview

How do you want to interact with AI systems? We don't know what tomorrow's AI systems will be capable of, but we do know that learning will be a critical component. Unlike traditional machine learning, interactive machine learning involves a learning AI and one or more humans. This can range from using humans to label data to human-in-the-loop to human-AI teaming. This course will provide you with the background and tools needed to conduct research in this emerging area. The primary goal of the class is to conduct a pilot study that, if successful, could lead to a conference paper at a venue like AAAI, NeurIPS, or CHI. To achieve this goal, students will learn basic skills required for human research, engage with interactive lectures, and read and discuss current research. This course will assume familiarity with machine learning --- students taking the class should have completed at least one prior machine learning course at the graduate or undergraduate level. Although the course will be recorded and made available to all interested students, students taking the course for credit will be expected to attend and participate in regular synchronous class meetings.  

More details are in the course syllabus.

Learning Outcomes

Course Work

F20 CMPUT 656 Schedule Webpage
F20 CMPUT 656 Readings Website

Course Discord Server 


Contact the instructor (Matt Taylor): cmput656@ualberta.ca 

More info about Matt: https://DrMattTaylor.net/

IRL Lab's webpage: http://irll.ca