Call for applications: New SRI working group will explore the role of trust in human-ML interaction

Trust is a pivotal concept in the interactions between humans and machine learning (ML) systems. Do we trust ML, and if so why? Perhaps just as importantly, how can ML systems earn and maintain our trust?  Schwartz Reisman Institute (SRI) Research Lead Beth Coleman is leading an interdisciplinary working group to explore the role of trust in human-machine learning (ML) interaction. The call for applicants is now open to University of Toronto doctoral and postdoctoral researchers. Applications must be submitted by January 22, 2024.

Scholars from diverse academic backgrounds including, but not limited to, human-computer interaction (HCI), behavioral sciences, economics, psychology, legal studies, and engineering are encouraged to apply. Each member will receive a $1,000 research award to support their individual research pursuits within the group’s overarching theme.

More details and instructions on how to apply are available on the SRI website.

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