Towards context-awareness explainable AI

Degree type


Closing date

27 March 2023



Citizenship requirement


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.


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

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

There is a three-step application process:

  1. Select your project, and check you meet the eligibility and selection criteria;
  2. Contact the Primary Supervisor, Dr Quan Bai to discuss your suitability and the project's requirements; and
  3. Submit an application by the closing date listed above.
    • 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.
    • As part of your application, you will be required to submit a covering letter, a CV including 2 x referees and your project research proposal.

Following the application 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.

Apply now Explore other projects

Why the University of Tasmania?

Worldwide reputation for research excellence

Quality supervision and support

Tasmania offers a unique study lifestyle experience