ITS
Information Technology Services
Open to students from any academic discipline at U of T, the IMI BIGDataAIHUB Case Competition is designed as a developmental opportunity for students to gain additional hands-on exposure to big data and artificial intelligence through real-world data.
This workshop will explore anti-Brown racism through a human rights lens based on the unique experiences of South and Southeast Asians, Middle Easterners, Latin Americans, and North Africans in Canada. We will explore the different manifestations of this racism – whether it is direct or systemic – based on distinct cultural stereotypes, religious differences, and economic insecurity.
In this session, we will discuss how IBM is helping clients with their digital transformation initiatives with the power of data & AI providing tangible business outcomes.
Our weekly SRI Seminar Series welcomes Jon Lindsay, an associate professor at the School of Cybersecurity and Privacy at the Georgia Institute of Technology, with a joint appointment in the Sam Nunn School of International Affairs and a courtesy appointment in the School of Public Policy.
This training for students provides an overview of the race-related Ontario Human Rights Code grounds and definitions of relevant key terms. It also explores how racial discrimination and harassment manifest in the work environments. Strategies and tools will be shared to effectively identify and to respond to race-related conflicts in the workplace.
The Anti-Racism & Cultural Diversity Office (ARCDO) at the University of Toronto invites you to join us for our Black History Month Symposium – What Has Changed: The Role of Attitudinal Barriers to Advancing Black Inclusion.
Join this virtual information session hosted by the Telecom team for an overview of the VoIP migration to Microsoft Teams Phone.
In this talk, Penney will explore how rapid technological developments are leading to the automation of legal enforcement, generating serious risks for privacy and human rights. Amidst a lack of guidance for lawmakers and policymakers grappling with these issues, Penney will consider theoretical and empirical research on the social impacts of these technologies, and the shortcomings of typical solutions such as regulation and human oversight.
In this session we will explain what Hybrid Cloud is and why it is a foundational capability for Big Data and AI. Using real-life examples from Canadian projects we will discuss benefits, best practices, skills required and the future evolution of hybrid cloud.
In this talk, Evans will present recent work on defining and measuring “truthfulness” in the context of large language models, including their calibration, and their ability to forecast world events. These topics will be considered in relation to the reduction of epistemic harms from AI and the problem of value alignment in the context of artificial general intelligence.
This training session provides students an increase understanding of the experiences and impact of racial microaggressions by identifying forms of racial microaggressive behavior and comments.
VoIP is now a core part of our telecommunications infrastructure supported by EIS. Join in this Thursday@3 session to learn more about the project implementation and be among the first to see a demonstration of the Microsoft Teams integration.
In this seminar, join BLG’s Shane Morganstein as he shares stories from the cybersecurity war room, and insights into how big data, machine learning and AI are helping to transform how organizations respond to increasingly complex cyber incidents.
In this session, Raso explores how technologies that administer border and immigration policies construct another equally important, but less explored, subject: state agency. Drawing on a recent example from Canada, Raso demonstrates how digitalization simultaneously concentrates state power while diffusing agency, reflecting on what this means for legal accountability mechanisms and decision-making.
The IMI BIGDataAIHUB Seminar Series covers a range of topics related to big data and artificial intelligence. Students, staff, faculty, alumni and members of the broader community are welcome!
