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Human-Centred AI Seminars
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Does it matter if we can’t explain AI
The explainable AI (XAI) movement arose in 2016 from a problem identified by the US government research funder DARPA that...
Automated text classification and explanation of patient safety reports in NSW
Ten percent of admissions to Australian acute-care hospitals are associated with harm to patients or adverse events. The reporting of...
Challenges in Building and Deploying Multi-Agent Systems for Social Impact
AI is now being applied widely in society, including to support decision-making in important, resource-constrained efforts in conservation and public...
The Utility of XAI in Improving Human-Decision Making
We conducted a few studies investigating the utility of explainable artificial intelligence (XAI)-assisted decision-making. This talk will present our efforts...
Anthropocentric framework for intuitive human-robot interaction: MATE systems
Since the last decade robots have been entering our lives more and more, being not any more simple (although reliable)...
The Seeing-eye Robot Grand Challenge: Developing a Human-Aware Artificial Collaborator
In this talk I will present the seeing-eye robot grand challenge and discuss the components required to design and build...
The Anatomy of Online Video Popularity
What makes a video popular, and what drives collective attention online? This talk gives an overview to our endeavours in...
Seeing Inside Out: Camera-based Physiological Sensing with Applications in Telehealth and Wellbeing
The growing need for technology that supports remote healthcare has been acutely highlighted by the SARS-CoV-2 (COVID-19) pandemic. A specific...