Learning from Machine Learning
A focus on Al in the education sphere.
Few recent developments have captured such attention and imagination – as well as stimulated as much anxiety and debate – as the advent of Artificial Intelligence (AI) and machine-learning systems. The opportunities that AI technology presents are immense yet the associated social impacts are equally profound. These impacts relate to information ethics, data privacy and equitable access and extend into a number of fields across Canada's public and private sectors.
This Webinar session will focus on Al in the education sphere. We will examine how the ethical and responsible deployment of AI is critical to leveraging its learning potential. We will identify the known AI risks of disinformation, algorithmic bias, automated decision-making and the appropriation of intellectual property. How can higher learning institutions effectively address these challenges to academic integrity? What is the emerging legal and regulatory landscape for AI here in Canada? Are there relevant examples in other nations or sectors? How can we best protect the data privacy and intellectual property rights of students, educators and authors in this fast-evolving new age of AI?
Join us for a stimulating discussion on effective strategies for AI oversight led by a recognized expert in information privacy and data policy.
Date: November 19, 2024
Time: 12:00 - 1:00 pm ET
CoP: Online Learning & Instructional Design
Presenter:
- Peter B. Kosmala, Course Developer and Instructor, York University
Moderator:
- Nicole Neufeld, Manager, Continuing Studies, University of Northern British Columbia
Webinar Leads:
- Marina DeBona, Program Manager, School of Continuing Studies, York University
- Hajime Kataoka, Director, Online Learning Services; Division of Continuing Studies; University of Victoria