JUSTICE, EQUITY, DIVERSITY, AND INCLUSION HEALTH CLUSTER ALLIANCE
The Justice, Equity, Diversity and Inclusion (JEDI) Health Cluster Alliance is comprised of 8 UBC Research Excellence Clusters who contribute to health research. The goal of this alliance is to learn about inequity and oppression in a post-secondary context, to investigate the strategies that the University of British Columbia and other institutions are using to combat various types of oppression, and to create change, starting within our Clusters. As such, we've partnered with UBC's Equity & Inclusion Office to create a series of events and workshops that address various forms of inequalities, and that encourage thoughtful action. Although the UBC community will be a focal point of conversation for these events, the skills and lessons conveyed within will translate to communities beyond UBC. We welcome anyone interested in learning how to foster an inclusive and respectful working and research environment to attend.
Learn More about the Clusters Involved
- Women's Health Research Cluster
- Gynecologic Cancer Initiative
- Biomedical Imaging and Artificial Intelligence
- Centre for Artificial Intelligence Decision-Making & Action
- Designing for People Research Cluster
- Data Science and Health
- Regenerative Medicine Cluster
- Dynamic Brain Circuits in Health and Disease
DASH is thrilled to be a core member of the JEDI Health Cluster Alliance. BMIAI is co-hosting the "Building an Ethical Algorithmic World: A 3-Part Series" event in October with DHDP, CAIDA, BMIAI, Brain Circuits, and the UW Computational Neuroscience Centre.
- Action on Sepsis
- Diabetes BC
Speak Up Community Building Workshop
October 6, 2021 | 12:00 – 1:00pm
Interested to learn how to build an inclusive and respectful working environment? Curious about what to say when somebody makes an inappropriate comment? Want to know how to handle situations that are embarrassing at work? In this workshop, attendees will learn about what makes a respectful community. This workshop builds on an intersectional approach to identities and experiences that shape how people show up at work, and explores challenges to inclusion by focusing on microaggressions and the impact they can have on workplace culture. Participants will have the opportunity learn how to challenge these instances as an Active Bystander/Upstander. All of these skills are important for fostering a respectful inclusive community.
Building an Ethical Algorithmic World: A 3-Part Series
October 26 - November 2nd
Interested in the ethics of algorithms? Concerned with the current biases within algorithms and the dangers these biases pose to particular groups of people (e.g. women and darker-skinned people)? Join us in this three-part Algorithmic Bias event to delve deeper into this issue. First, watch a free screening of “Coded Bias”, then join a live Q&A session with the film’s director Shalini Kantayya. Finally, attend a panel discussion with experts Marc-Antoine Dilhac (Canada Research Chair in Public Ethics and Political Theory), Aline Talhouk (Assistant Professor, Obstetrics & Gynecology, UBC), Blaise Agüera y Arcas (VP and Research Fellow, Google Research), and Mijung Park (Canada CIFAR AI Chair).
1. Coded Bias Screening
October 26th – November 2nd
Watch anytime during the dates above using our link (RSVP).
Coded Bias – A film by Shalini Kantayya
Film Summary: When MIT Media Lab researcher Joy Buolamwini discovers that most facial-recognition software misidentifies women and darker-skinned faces, she delves into an investigation of widespread bias in algorithms.
2. Q&A with Shalini Kantayya (Director)
Date: Tuesday, November 02
Time: 5:00 – 6:00pm
3. Panel Discussion with Algorithm Experts
Date: Thursday, November 04
Time: 12:00 – 1:30pm
About the Panel:
This panel event will provide a high-level discussion on algorithmic bias, particularly from a Canadian perspective. Earlier in the week, we will be doing a screening of Coded Bias followed by a Q&A with the director as a way to engage the community with a topic that is not only extremely prevalent to our times, but that has received intrigue from a large range of individuals. The panel will then take that general topic of algorithmic bias and speak to it at a high level, delving into the realities that industry and the academic community are facing and the ethical implications that go along with it. We are fortunate to have expert panelists providing perspectives from health and privacy, industry, political philosophy, and privacy-preserving machine learning.
Marc-Antoine Dilhac (Canada Research Chair in Public Ethics and Political Theory)
Aline Talhouk (Assistant Professor, Obstetrics & Gynecology, UBC)
Mijung Park (Canada CIFAR AI Chair)
Blaise Agüera y Arcas (VP and Research Fellow, Google Research)
Azim Shariff (Associate Professor and Research Chair, Psychology, UBC).