Overview
Background
Dr Javad Pool is a researcher focusing on the use of AI and the sustainable implementation of emerging technologies. He completed his PhD in Information Systems at The University of Queensland, where his thesis received the ACPHIS PhD Medal for the best PhD thesis in Information Systems in Australia. He has conducted research in Digital Health, Responsible AI, and Information Systems, with a particular focus on trust in AI, data privacy, and the socio-technical aspects of Information Systems. His work aims to develop a better understanding of responsible and effective use of Information Systems, particularly in organisational contexts.
Availability
- Dr Javad Pool is:
- Not available for supervision
Fields of research
Qualifications
- Doctor of Philosophy, The University of Queensland
Research interests
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Cybersecurity and information resilience
Understand and analyze socio-technical complexities in information resilience, with a particular focus on cybersecurity management, data governance, responsible use of data, and data protection.
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Trust and data privacy
Examine the challenges and practices in establishing trustworthy AI and data partnerships, maintaining stakeholder trust in data, and addressing privacy concerns.
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Acceptance and effective use of digital health systems
Uncover strategies and organisational practices to foster acceptance and improve the effective use of information systems within the digital health domain, specifically in relation to emerging technologies, Healthcare Artificial Intelligence (AI), Mobile Health (mHealth), Telehealth, and Electronic Health Records (EHR).
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Responsible AI and policy
Investigate sociotechnical structural assurance and organisational practices to support responsible AI deployment and policy development. Emphasise robust data protection, ethical value creation, human-centred design, and meaningful outcomes for all stakeholders. Collaborate with policymakers to co-design evidence-informed, inclusive, and context-sensitive AI governance policies.
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The use of data analytics in healthcare
Analyse social data and media discourses to understand changes in the healthcare landscape, identify emerging challenges, and provide insights for healthcare service providers to navigate these challenges effectively.
Works
Search Professor Javad Pool’s works on UQ eSpace
2026
Other Outputs
Accepted but not trusted: The continuum of legitimation of AI in policing
Pool, Javad, Indulska, Marta, Asadi, Ida, Sadiq, Shazia and Moss, Nick (2026, 04 23). Accepted but not trusted: The continuum of legitimation of AI in policing Policing Insight
Featured
2026
Journal Article
How to demonstrate trustworthy use of AI in public services: a case study
Smith, Natalie, Gillespie, Nicole, Rinta‐Kahila, Tapani, Lockey, Steven, Pool, Javad and Curtis, Caitlin (2026). How to demonstrate trustworthy use of AI in public services: a case study. Information Systems Journal isj.70025. doi: 10.1111/isj.70025
2025
Journal Article
Towards a model for understanding failures in health data protection: a mixed-methods study
Pool, Javad, Akhlaghpour, Saeed, Hassandoust, Farkhondeh, Fatehi, Farhad and Burton-Jones, Andrew (2025). Towards a model for understanding failures in health data protection: a mixed-methods study. Behaviour and Information Technology, 1-26. doi: 10.1080/0144929X.2025.2551568
2025
Conference Publication
Choosing with care: how patients’ understanding of AI risks, benefits, and features drives healthcare innovation adoption
Hassandoust, Farkhondeh, Akhlaghpour, Saeed, Pool, Javad and Ologeanu-Taddei, Roxana (2025). Choosing with care: how patients’ understanding of AI risks, benefits, and features drives healthcare innovation adoption. DIGIT 2024, Bangkok, Thailand, 15 September 2024. Atlanta, GA, United States: Association for Information Systems (AIS).
2025
Book Chapter
Insights into AI’s influence on enterprise software and systems: lessons from varied contexts
Fan, Shaoyang and Pool, Javad (2025). Insights into AI’s influence on enterprise software and systems: lessons from varied contexts. Enterprise AI. (pp. 311-331) edited by Shazia Sadiq. Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-032-01940-0_11
2025
Other Outputs
Community attitudes towards data analytics in law enforcement
Pool, J., Indulska, M., Someh, I. and Sadiq, S. (2025). Community attitudes towards data analytics in law enforcement. Brisbane, QLD, Australia: The University of Queensland and Queensland Police Service. doi: 10.14264/2178369
2024
Journal Article
Large language models and generative AI in telehealth: a responsible use lens
Pool, Javad, Indulska, Marta and Sadiq, Shazia (2024). Large language models and generative AI in telehealth: a responsible use lens. Journal of the American Medical Informatics Association, 31 (9), 2125-2136. doi: 10.1093/jamia/ocae035
2024
Conference Publication
Trust in Artificial Intelligence: A Critical Systematic Review
Lockey, Steve, Gillespie, Nicole, Morrill, Jake and Pool, Javad (2024). Trust in Artificial Intelligence: A Critical Systematic Review. 84th Annual Meeting of the Academy of Management 2024, Chicago, IL United States, 9-13 August 2024. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/amproc.2024.14990abstract
2024
Journal Article
Unpacking the complexities of health record misuse: insights from Australian health services
Pool, Javad, Akhlaghpour, Saeed and Burton-Jones, Andrew (2024). Unpacking the complexities of health record misuse: insights from Australian health services. Information Technology & People, 38 (5), 1-31. doi: 10.1108/itp-12-2022-0931
2024
Conference Publication
Unpacking sociotechnical discourses on telehealth use and data protection: a path towards digital health value creation
Pool, Javad, Fatehi, Farhad, Sharifi, Salma, Namvar, Morteza and Akhlaghpour, Saeed (2024). Unpacking sociotechnical discourses on telehealth use and data protection: a path towards digital health value creation. Amsterdam, Netherlands: IOS Press. doi: 10.3233/SHTI240013
2024
Journal Article
A systematic analysis of failures in protecting personal health data: a scoping review
Pool, Javad, Akhlaghpour, Saeed, Fatehi, Farhad and Burton-Jones, Andrew (2024). A systematic analysis of failures in protecting personal health data: a scoping review. International Journal of Information Management, 74 102719, 1-29. doi: 10.1016/j.ijinfomgt.2023.102719
2023
Conference Publication
An AI-enabled community safety service: stakeholder benefits and vulnerabilities
Pool, Javad, Smith, Natalie, Dodds, Hunter, Lockey, Steven, Curtis, Caitlin, Rinta-Kahila, Tapani and Gillespie, Nicole (2023). An AI-enabled community safety service: stakeholder benefits and vulnerabilities. Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 5 - 8 December 2023. Atlanta, GA, United States: Association for Information Systems.
Featured
2023
Other Outputs
Trust in AI: Country insights on shifting public perceptions of AI: Country findings
Gillespie, Nicole, Lockey, Steve, Curtis, Caitlin and Pool, Javad (2023). Trust in AI: Country insights on shifting public perceptions of AI: Country findings. Brisbane, Australia; New York, United States: The University of Queensland; KPMG Australia.
2023
Conference Publication
From the complex present to the risk-laden future of trust: over the mountain and into the frying pan
Mayer, Roger C., Jang, Dongil, Shah, Pri Pradhan, Jones, Stephen L., Siderits, Ian, Flynn, Patrick, Mulvey, Paul W, Lockey, Steve, Gillespie, Nicole, Pool, Javad, Curtis, Caitlin, Edwards, Martin, Belkin, Liuba, Tuskey, Sarah, Becker, William J., Korsgaard, M. Audrey, Strizver, Sam, Ployhart, Robert E and Williams, Michele (2023). From the complex present to the risk-laden future of trust: over the mountain and into the frying pan. 83rd Annual Meeting of the Academy of Management, Boston, MA United States, 4-8 August 2023. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/amproc.2023.18559symposium
2023
Other Outputs
Trust in AI: 2023 Global study on the shifting public perceptions of AI: Global Executive Summary
Gillespie, Nicole, Lockey, Steve, Curtis, Caitlin and Pool, Javad (2023). Trust in AI: 2023 Global study on the shifting public perceptions of AI: Global Executive Summary. New York, NY, United States; Brisbane, Australia: KPMG International; The University of Queensland.
Featured
2023
Other Outputs
A survey of over 17,000 people indicates only half of us are willing to trust AI at work
Gillespie, Nicole, Curtis, Caitlin, Pool, Javad and Lockey, Steven (2023, 02 23). A survey of over 17,000 people indicates only half of us are willing to trust AI at work The Conversation
Featured
2023
Other Outputs
Trust in Artificial Intelligence: A global study
Gillespie, Nicole, Lockey, Steven, Curtis, Caitlin, Pool, Javad and Ali Akbari (2023). Trust in Artificial Intelligence: A global study. Brisbane, Australia; New York, United States: The University of Queensland; KPMG Australia. doi: 10.14264/00d3c94
2022
Journal Article
Exploring public opinion about telehealth during COVID-19 by social media analytics
Pool, Javad, Namvar, Morteza, Akhlaghpour, Saeed and Fatehi, Farhad (2022). Exploring public opinion about telehealth during COVID-19 by social media analytics. Journal of Telemedicine and Telecare, 28 (10), 718-725. doi: 10.1177/1357633x221122112
2022
Other Outputs
Data Protection and Effective Use of Health Information Systems: A Cybersecurity Perspective
Khazaei Pool, Javad (2022). Data Protection and Effective Use of Health Information Systems: A Cybersecurity Perspective. PhD Thesis, School of Business, The University of Queensland. doi: 10.14264/b3a7867
2022
Journal Article
Data privacy concerns and use of telehealth in the aged care context: an integrative review and research agenda
Pool, Javad, Akhlaghpour, Saeed, Fatehi, Farhad and Gray, Leonard C. (2022). Data privacy concerns and use of telehealth in the aged care context: an integrative review and research agenda. International Journal of Medical Informatics, 160 104707, 104707. doi: 10.1016/j.ijmedinf.2022.104707
Media
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