AI Ethics and Bias in Project Management

This virtual webinar explores the ethical challenges and risks of bias associated with AI within a project context. It offers concrete pathways for integrating accountability and equity into AI governance: principles, control mechanisms, use cases, and discussions on organizational impacts.


Paloma Holmes

Educational Programs Lead  

Concordia Applied AI Institute

Paloma Holmes (she/they) is a researcher and educator with over ten years of experience leading UX and market research projects in Canada and internationally. They bring expertise across different sectors including automotive, hospitality, healthcare, urban design, and media communications, facilitating cross-team collaboration while leveraging research insights to drive strategic decision-making. More recently, she taught at the Gina Cody Gina School of Engineering and Computer Science with a focus on media literacy, ethics, and social impacts in STEM. Paloma enjoys co-creating technology and learning environments that build our capacity for curiosity, critical inquiry, meaningful connection, and change.

Virtual participation and PDU allocation
To ensure fair management of PDU allocation, virtual participants must be logged in no later than 30 minutes after the start of the event. After this time, access will no longer be authorized and no PDUs will be awarded.

Events

No refunds 5 open days or less prior to the event.

Substitution
Substitution of a participant is not permitted except for group registrations.

Cancellation
PMI-Montreal reserves the right to cancel a training program in the event of insufficient registrations. In this case, the full registration fee will be refunded.