Artificial intelligence research network

UQ researchers are exploring how artificial intelligence reshapes organisational strategy, governance and value creation. As new forms of AI become widely available, organisations face both unprecedented opportunities and complex risks. Mindful AI leadership and investment strategies are crucial for promoting responsible AI adoption at scale.

Our researchers are designing and studying intelligent systems that empower individuals and augment capabilities and decision-making by prioritising human needs, growth and agency. Researchers use design, critical, creative and participatory modes of inquiry to observe and understand the social and cultural impacts of automation, and to imagine and develop more inclusive, accountable and socially responsible systems.

Our research focuses on developing intelligent systems that effectively balance AI model quality with resource usage, enabling systems to scale to more complex problems and bigger data in a sustainable way. UQ researchers are examining scalable and sustainable AI techniques for critical domains such as various omics, agriculture and medical imaging.

Our researchers champion and specialise in Data-Centric AI - an approach that prioritises enhancing the quality, consistency, and relevance of data to boost AI performance. Our research spans multimodal data management, data preparation (including cleaning, fusion, and assemblage), data governance, privacy preservation and information security.