**2:00 pm**, Thursday, 19 April 2018 Bahen 5187
Dear Colleagues,
Please join us for a talk delivered by Dr. Gonzalo Ramos https://www.microsoft.com/en-us/research/people/goramos/, Senior Researcher at the Machine Teaching Group at Microsoft Research, and former dgp member!
Machine Teaching: Opportunities at the intersection of ML and HCI Research. Thursday April 19, at 2:00PM at the DGP seminar room (BA5187)
Abstract: Machine Learning (ML) algorithms extract knowledge from data and currently require model builders with significant knowledge of the learning algorithm. This limits the ability to meet the demand for ML models to the available number of ML experts. To satisfy this demand, we must increase the number of individuals that can create ML models by making the process of teaching machines direct and accessible for all. We argue that this is achievable through Machine Teaching (MT), which focuses on how to transfer knowledge from a person to a learning algorithm. MT follows and extends principles of programming and lives at the intersection of ML, HCI and software engineering. In this presentation, we will introduce the fundamentals of MT and articulate the opportunities within for HCI research. We argue MT introduces model explainability by design, is a logical extension of programming literacy, and is disruptive by bringing discipline to ML model-building.
Bio: Gonzalo is a Senior Researcher at the Machine Teaching Group. His Research DNA is about Human-Computer Interaction (although he thinks Human-Information Interaction is a better, more humanistic term) and over the years he has acquired what has been reliably diagnosed as an incurable Design and Engineering problem. His passion is to empower people by making information and technology accessible, enjoyable, and useful to all. He does this by researching, rediscovering, designing and crafting solutions as appropriate. He loves interdisciplinary work that aims to solve hard problems, and that challenges him to learn. Gonzalo is a graduate from the University of Toronto’s DGP lab, as well as the Universidad de Buenos Aires. Prior to his position at MSR, he worked as a Senior Design Technologist and later UX Scientist at Amazon, and as a Scientist Microsoft.
To meet with Gonzalo, please email fanny@cs.toronto.edu mailto:fanny@cs.toronto.edu
Cheers! fanny
— Fanny Chevalier Assistant Professor Department of Computer Science and Department of Statistical Sciences University of Toronto fanny@cs.toronto.edu mailto:fanny@cs.toronto.edu http://fannychevalier.net/ http://fannychevalier.net/