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You are registering to attend this session only. You must register for each CanWaCH Academy session separately.

DATE: Thursday, November 21, 2024

TIME: 1:30 p.m. to 2:30 p.m. EDT

As Artificial Intelligence (AI) becomes an integral part of decision-making across sectors, ethical dilemmas and the risk of reproducing existing inequalities become increasingly concerning. In this session, we will present a framework that contextualizes AI train and test datasets within existing data inequities. Participants will iteratively build the framework through the training, learning the importance of asking: who is in the data? How are they in the data? What are the politics of the data? And what are the politics of how they are in the data? Applying the framework in practice will focus attention on the action needed to achieve inclusive, responsible AI.

Meet the speaker for this session:

• Emily Springer, TechnoSocio Advisory

*Please note this event includes English and French simultaneous translation.