Skip to menu Skip to content Skip to footer

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

Trust in Artificial Intelligence: A global study

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

Profiling Adopters (and Non-adopters) of a Contact Tracing Mobile Application: Insights from Australia

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

A review of trust in artificial intelligence: challenges, vulnerabilities and future directions

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

Trust in Artificial Intelligence: A Critical Systematic Review

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

Compliance with COVID-19 preventative health measures in the United Kingdom: a latent profile analysis

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

Understanding trust in artificial intelligence: a research agenda

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.

An AI-enabled community safety service: stakeholder benefits and vulnerabilities

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.

Trust in AI: Country insights on shifting public perceptions of AI: Country findings

Featured

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

Enlarging the model of the human at the heart of human-centered AI: a social self-determination model of AI system impact

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

From the complex present to the risk-laden future of trust: over the mountain and into the frying pan

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.

Trust in AI: 2023 Global study on the shifting public perceptions of AI: Global Executive Summary

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

Regulation is key to responsible AI, but what might this look like?

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

Where is the human in human-centered AI? Insights from developer priorities and user experiences

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

A survey of over 17,000 people indicates only half of us are willing to trust AI at work

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

Nonprofit scandals: A systematic review and conceptual framework

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.

Recovering from failure: what can security services do to repair trust?

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

Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening

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

The Impact of COVID-19 pandemic on corporate social responsibility and job embeddedness in China

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

AI-deploying organizations are key to addressing ‘perfect storm’ of AI risks

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

Comparing the effectiveness of post-scandal apologies from nonprofit and commercial organizations: an extension of the moral disillusionment model