Presenter
Dr Claire Mason
Principal Research Scientist at CSIRO Data61
Dr Claire Mason is a Principal Research Scientist at CSIRO’s Data61, where she leads the Workforce and Productivity team. With a background in organisational psychology and a career spanning academia, industry, and government, Claire’s research explores the workforce impacts of new technologies such as AI. Claire’s team also makes use of AI and big datasets to identify how skills needs are changing and address skills mismatch (see CSIRO’s Indigenous Jobs Map for an example of their work). Her work has been featured in leading scientific journals and national media outlets.
Dr Claire Mason from CSIRO Data61, will present a seminar on
Thursday, 23 October 2025.
Title: Generative AI upskilling
Abstract: Generative AI tools (e.g., ChatGPT, MS Copilot) require different knowledge and skills than do other types of AI. They do not require coding skills, and they can be adapted for use on a wide range of tasks and across multiple stages of a workflow. On average, these tools improve both productivity and quality, but they introduce new risks and in some conditions, they can worsen performance and inhibit learning. CSIRO’s research explores the role of human skills, knowledge and experience in a generative-AI augmented workforce. We argue that generative AI users need to understand what tasks these tools are good at performing and what sort of errors they can make (we call this generative AI literacy). However, they also require a uniquely human form of intelligence – metacognition. Metacognition involves the ability to think about our own thinking. It is through exercising metacognition that we apply what we know (generative AI literacy, domain expertise and human experience) to make good decisions about when and how to use generative AI tools.
Click the button below to register, add an invitation to your calendar and join the seminar using the Teams/GovTeams link.
