Cristina Conati has been awarded funding (~40K) from the CIFAR AI and Society Initiative to run a workshop on Trust in AI Systems with three co-organizers (see short summary below). This is a joint initiative among CIFAR, France's Centre national de la recherche scientifique (CNRS) and UK Research and Innovation (UKRI) (press release at https://www.cifar.ca/cifarnews/2019/04/11/canada-france-uk-launch-research-workshops-exploring-societal-implications-of-artificial-intelligence).
You can find more details on accepted workshops at https://www.cifar.ca/ai/ai-society/workshops-call-two
Trust in AI Systems: Trust is a complex and multifaceted construct that plays a fundamental role in the deployment and acceptance of AI technologies. The proposed workshop aims to gain a broader understanding of how factors such as application domain and user differences come into play to create trustworthy AI systems that empower their users to understand when the system’s actions are valuable and should be accepted, but also when they have limitations.
Proposal Team: Cristina Conati, University of British Columbia, Canada; Elisabeth Andre, Augsburg University, Germany; Kaska Porayska-Pomsta, University College London, United Kingdom; Judy Kay, University of Sydney, Australia