There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI systems is to use eXplainable AI (XAI), which promotes the use of methods that produce transparent explanations and reasons for decisions AI systems make. This paper explores what is common and what is different between education and other broader uses of AI, why do we need XAI in education, how can XAI help current and future learners and educational systems, and what are the open research questios for XAI in Education. The paper is a collaboration between CIRES Chief Investigator Dr Hassan Khosravi, Centre Director Professor Shazia Sadiq, and colleagues at the University of Technology Sydney, Monash University, The University of British Columbia, and The University of Sydney. It presents a framework, referred to as XAI-ED, that considers six key aspects in relation to explainability for studying, designing and developing educational AI tools. These key aspects focus on the stakeholders, benefits, approaches for presenting explanations, widely used classes of AI models, human-centred designs of the AI interfaces and potential pitfalls of providing explanations within education. Access the full paper here.
Applications closed 19th June 2022.
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Multiple positions available
We are recruiting for some exciting PhD opportunities to join CIRES, based at The University of Queensland, St Lucia campus.
CIRES is seeking highly motivated PhD researchers to join the Centre for exciting projects with industry and government partners Max Kelsen, Queensland Police Service, and Queensland Health. You will have the opportunity to build innovative solutions for responsible and efficient use of data in a variety of application areas including health, education, insurance, and the public sector.
This is an opportunity to be part of an innovative HDR training program. As a PhD researcher with CIRES, you will have the opportunity to work collaboratively with university and industry partner supervisors on research with real world impact. During your degree, you will undertake a one-year (equivalent) placement with the industry or government partner.
We offer a generous scholarship package of $34,938 per annum (2022 rate) and top up scholarships from $5,000 per annum. We are now recruiting for the following projects. All positions are based at the University of Queensland’s St Lucia Campus in Brisbane.
Applications close 19th June 2022.
- Interpretable AI – Theory and Practice, Max Kelsen
- Data as a service Architecture, Queensland Police Service
- Expanding Data Sets to Allow Improved Critical Care for Children – Inpatient Risk Prediction, Queensland Health
About the scholarship
- An ARC Stipend Scholarship, tax exempt and indexed annually, $34,938 per annum and top-up scholarship from $5,000 per annum, for 3.5 years, as well as a minimum $5,000 per annum in project support funds
- For international students, you will also receive a UQ Tuition Fee Waiver Scholarship
- The opportunity to work at one of Australia’s leading research and teaching institutions, The University of Queensland
- Real-world experience as you undertake a one-year (equivalent) placement with the industry partner or government partner
- The opportunity to be part of the ARC Training Centre for Information Resilience (CIRES) under the leadership of renowned computer scientist Professor Shazia Sadiq
Hey Siri, what does Australia’s digital future look like?
Read about the recommendations to successfully pursue and realise a digital future for Australia by CIRES Centre Director Professor Shazia Sadiq in this piece written for the Australian Academy of Technology and Engineering (ATSE).
The emerging digital technologies sector presents many opportunities however we must address the digital divide to ensure equity of access to the benefits of digital technologies and also meet the skills requirements for a future digital workforce. The full article is available here.