Overview
Background
Steve joined UQ Business School in in August 2019. He previously held a Lectureship at Northumbria University (UK) and a Research Associate position at Durham University Business School (UK), in which he investigated topics such as wellbeing in policing, and how leadership, feeling trusted, organisational policies, and processes influence service delivery and attitudes in police officers and staff.
Steve received his PhD in Management Studies from Durham University in June 2017. His thesis quantitively examined the role of emotions in the violation and repair of trust between organisations and customers, focusing particularly on the Volkswagen ‘Dieselgate’ scandal. Steve was jointly awarded the ‘Outstanding Thesis Award’ by Durham University Business School for this work. He is published in Business Ethics Quarterly and the International Journal of Police Science and Management.
Availability
- Dr Steve Lockey is:
- Available for supervision
- Media expert
Qualifications
- Doctor of Philosophy, Durham University
Research interests
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Trust
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Trust Repair
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Emerging technologies
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Well-being
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Emotions at Work
Research impacts
Steve's research trust in Artificial Intelligence has been featured in media outlets such as Sydney Morning Herald, The Australian, ABC Radio Queensland, and The Conversation and has been cited in the Australian Human Rights Commission’s (2021) Human Rights and Technology Report, the Australian Government’s (2021) Australia’s AI Action Plan. It was also cited as part of a presentation on the launch of Australia’s National AI Centre. He was an invited panellist at the Australia and New Zealand Policing Advisory Agency (ANZPAA) forum Spotlight on Artificial Intelligence in Policing in April 2022(>180 registrants). Further, Steve's work in the police context was cited in the UK Home Office's Front-Line Review of Policing, an initiative designed to capture ideas for improvements and change from the front line of policing, informed by academic evidence. His evidence-based report into the impact of performance-related pay in the public sector was cited in a submission by the National Police Chiefs’ Council to the Police Remuneration Review Body, which influences policy relating to police pay and benefits in England and Wales.
Works
Search Professor Steve Lockey’s works on UQ eSpace
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
Featured
2021
Journal Article
Profiling Adopters (and Non-adopters) of a Contact Tracing Mobile Application: Insights from Australia
Lockey, Steven, Edwards, Martin R., Hornsey, Matthew J., Gillespie, Nicole, Akhlaghpour, Saeed and Colville, Shannon (2021). Profiling Adopters (and Non-adopters) of a Contact Tracing Mobile Application: Insights from Australia. International Journal of Medical Informatics, 149 104414, 1-7. doi: 10.1016/j.ijmedinf.2021.104414
Featured
2021
Conference Publication
A review of trust in artificial intelligence: challenges, vulnerabilities and future directions
Lockey, Steven, Gillespie, Nicole, Holm, Daniel and Someh, Ida Asadi (2021). A review of trust in artificial intelligence: challenges, vulnerabilities and future directions. Hawaii International Conference on System Sciences , Honolulu, HI, United States, 4-8 January 2021. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2021.664
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
Compliance with COVID-19 preventative health measures in the United Kingdom: a latent profile analysis
Colville, Shannon, Lockey, Steven, Gillespie, Nicole and Kelly, Sarah Jane (2024). Compliance with COVID-19 preventative health measures in the United Kingdom: a latent profile analysis. Health Promotion International, 39 (2) daae007, 1-11. doi: 10.1093/heapro/daae007
2024
Book Chapter
Understanding trust in artificial intelligence: a research agenda
Lockey, Steve and Gillespie, Nicole (2024). Understanding trust in artificial intelligence: a research agenda. A research agenda for trust: interdisciplinary perspectives. (pp. 11-24) edited by Roger C. Mayer and Barbara M. Mayer. Cheltenham, United Kingdom: Edward Elgar Publishing. doi: 10.4337/9781802200942.00009
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.
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
Journal Article
Enlarging the model of the human at the heart of human-centered AI: a social self-determination model of AI system impact
Bingley, William J., Haslam, S. Alexander, Steffens, Niklas K., Gillespie, Nicole, Worthy, Peter, Curtis, Caitlin, Lockey, Steven, Bialkowski, Alina, Ko, Ryan K.L. and Wiles, Janet (2023). Enlarging the model of the human at the heart of human-centered AI: a social self-determination model of AI system impact. New Ideas in Psychology, 70 101025, 1-12. doi: 10.1016/j.newideapsych.2023.101025
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.
2023
Other Outputs
Regulation is key to responsible AI, but what might this look like?
Curtis, Caitlin and Lockey, Steven (2023, 04 05). Regulation is key to responsible AI, but what might this look like? The Australian and New Zealand School of Government / National Regulators Community of Practice Newsletter
2023
Journal Article
Where is the human in human-centered AI? Insights from developer priorities and user experiences
Bingley, William J., Curtis, Caitlin, Lockey, Steven, Bialkowski, Alina, Gillespie, Nicole, Haslam, S. Alexander, Ko, Ryan K.L., Steffens, Niklas, Wiles, Janet and Worthy, Peter (2023). Where is the human in human-centered AI? Insights from developer priorities and user experiences. Computers in Human Behavior, 141 107617, 1-8. doi: 10.1016/j.chb.2022.107617
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
2022
Journal Article
Nonprofit scandals: A systematic review and conceptual framework
Chapman, Cassandra M., Hornsey, Matthew J., Gillespie, Nicole and Lockey, Steve (2022). Nonprofit scandals: A systematic review and conceptual framework. Nonprofit and Voluntary Sector Quarterly, 52 (1_suppl), 089976402211295-312S. doi: 10.1177/08997640221129541
2022
Other Outputs
Recovering from failure: what can security services do to repair trust?
Lockey, Steven (2022, 08 04). Recovering from failure: what can security services do to repair trust? CREST Security Review 20-21.
2022
Conference Publication
Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening
Lockey, Steve, Gillespie, Nicole, Curtis, Caitlin, Bingley, William, Worthy, Peter, Haslam, Alexander, Steffens, Niklas, Bialkowski, Alina, Ko, Ryan and Wiles, Janet (2022). Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening. 82nd Annual Meeting of the Academy of Management, Seattle, WA United States, 5-9 August 2022. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/ambpp.2022.10638abstract
2022
Journal Article
The Impact of COVID-19 pandemic on corporate social responsibility and job embeddedness in China
Meirun, Tang, Lockey, Steven, Blenkinsopp, John, Yueyong, He and Ling, Ling (2022). The Impact of COVID-19 pandemic on corporate social responsibility and job embeddedness in China. Frontiers in Psychology, 13 848902, 1-12. doi: 10.3389/fpsyg.2022.848902
2022
Journal Article
AI-deploying organizations are key to addressing ‘perfect storm’ of AI risks
Curtis, Caitlin, Gillespie, Nicole and Lockey, Steven (2022). AI-deploying organizations are key to addressing ‘perfect storm’ of AI risks. AI and Ethics, 3 (1), 1-9. doi: 10.1007/s43681-022-00163-7
2021
Journal Article
Comparing the effectiveness of post-scandal apologies from nonprofit and commercial organizations: an extension of the moral disillusionment model
Chapman, Cassandra M., Hornsey, Matthew J., Mangan, Heidi, Gillespie, Nicole, La Macchia, Stephen and Lockey, Steven (2021). Comparing the effectiveness of post-scandal apologies from nonprofit and commercial organizations: an extension of the moral disillusionment model. Nonprofit and Voluntary Sector Quarterly, 51 (6), 089976402110626-1280. doi: 10.1177/08997640211062666
Supervision
Availability
- Dr Steve Lockey is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Perceptions of Existential AI Risk to Inform AI Governance
Associate Advisor
Other advisors: Associate Professor Michael Noetel
Media
Enquiries
Contact Dr Steve Lockey directly for media enquiries about:
- AI
- Artificial Intelligence
- Trust
- Trust repair
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