Towards context-awareness explainable AI

Degree type


Closing date

25 September 2023



Citizenship requirement

Domestic / International

About the research project

Recent advances in artificial intelligence (AI) have drawn attention to the need for AI systems to be understandable and trusted by human users. The explainable AI (XAI) aims to provide human understanding information in support of the decisions or predictions made by the AI systems. At present, the current XAI techniques are mainly focused on explaining how AI works by factual visual, textual or combination of them using pre-defined knowledge. However, the background knowledge from human and system is very important, by considering various context (time-series dataset, situations, environment constraints, etc.), the knowledge needs to be adaptive to support dynamic explanations. So far, knowledge for explanation is not well connected to support dynamic explanations to be adaptive. We can generalise these limitations in two prime categories, lacks knowledge connection and dynamic explanations.

These limitations provide an opportunity which motivates us to develop the novel context-awareness XAI that can provide a human-centered approach for defining explanation  requirements and development of XAI techniques. We propose our approach that specifically addresses the above-mentioned limitations by targeting the following:

  • Language model connection into AI learning process;
  • Background knowledge maintenance to adapt to different contextual situations or environments.

This novel concept will enable to provide rich and contextual explanations based on user needs, context, and goals. In this way, it can enhance connection between human beings and AI systems, increasing the reliability and robustness of AI systems and build effective explainable AI systems.

Primary Supervisor

Meet Dr Quan Bai


Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $31,500 per annum (2023 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Other funding opportunities and fees

For further information regarding other scholarships on offer, and the various fees of undertaking a research degree, please visit our Scholarships and fees on research degrees page.


Applicants should review the Higher Degree by Research minimum entry requirements.

Ensure your eligibility for the scholarship round by referring to our Key Dates.

Additional eligibility criteria specific to this project/scholarship:

  • Applicants must be able to undertake the project on-campus

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Application process

  1. Select your project, and check that you meet the eligibility and selection criteria, including citizenship;
  2. Contact Dr Quan Bai to discuss your suitability and the project's requirements; and
  3. In your application:
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • Submit a signed supervisory support form, a CV including contact details of 2 referees and your project research proposal.
  4. Apply prior to 25 September 2023.

Full details of the application process can be found under the 'How to apply' section of the Research Degrees website.

Following the closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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