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Featured

2024

Other Outputs

Submission to the Senate Select Committee on Adopting Artificial Intelligence (AI)

Curtis, Caitlin (2024). Submission to the Senate Select Committee on Adopting Artificial Intelligence (AI). Brisbane, Australia: The University of Queensland. doi: 10.14264/48dfdd6

Submission to the Senate Select Committee on Adopting Artificial Intelligence (AI)

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.

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

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

Book Chapter

Establishing trust in science communication

Curtis, Caitlin, Gillespie, Nicole and Okimoto, Tyler (2023). Establishing trust in science communication. Teaching science students to communicate: a practical guide. (pp. 39-47) edited by Susan Rowland and Louise Kuchel. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-91628-2_5

Establishing trust in science communication

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

Book Chapter

More than black printed words on white paper: intergenerational health justice for Aboriginal and Torres Strait Islander peoples

Creamer, Sandra, Toombs, Maree, Tarrago, Avelina, Williams, Renee, Fraser, Jed, Curtis, Caitlin and Brolan, Claire E. (2023). More than black printed words on white paper: intergenerational health justice for Aboriginal and Torres Strait Islander peoples. Australian public health law: contemporary issues and challenges. (pp. 153-178) edited by Belinda Bennett and Ian Freckelton. Alexandria, NSW Australia: The Federation Press.

More than black printed words on white paper: intergenerational health justice for Aboriginal and Torres Strait Islander peoples

2023

Other Outputs

Submission to the Australian Government: Attorney-General’s Department review of the Privacy Act 1988 (Cth) - genetic and genomic data

Curtis, Caitlin, Hereward, James and Newton, Giselle (2023). Submission to the Australian Government: Attorney-General’s Department review of the Privacy Act 1988 (Cth) - genetic and genomic data. Brisbane, QLD, Australia: The University of Queensland and the Australian Government: Attorney-General’s Department.

Submission to the Australian Government: Attorney-General’s Department review of the Privacy Act 1988 (Cth) - genetic and genomic data

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

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

Trust in Artificial Intelligence: A global study

2023

Journal Article

Supporting Indigenous health equity strategic planning: a Queensland perspective

Toombs, Maree R., Curtis, Caitlin and Brolan, Claire E. (2023). Supporting Indigenous health equity strategic planning: a Queensland perspective. Medical Journal of Australia, 218 (1), 5-8. doi: 10.5694/mja2.51794

Supporting Indigenous health equity strategic planning: a Queensland perspective

Featured

2022

Journal Article

Health care in the metaverse

Curtis, Caitlin and Brolan, Claire E. (2022). Health care in the metaverse. Medical Journal of Australia, 218 (1), 46-46. doi: 10.5694/mja2.51793

Health care in the metaverse

Featured

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

Featured

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

Featured

2021

Other Outputs

New technology lets police link DNA to appearance and ancestry – and it’s coming to Australia

Curtis, Caitlin and Hereward, James (2021, 12 13). New technology lets police link DNA to appearance and ancestry – and it’s coming to Australia The Conversation

New technology lets police link DNA to appearance and ancestry – and it’s coming to Australia

Featured

2021

Conference Publication

Privacy-preserving gradient descent for distributed genome-wide analysis

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2021). Privacy-preserving gradient descent for distributed genome-wide analysis. ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, 4–8 October, 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-88428-4_20

Privacy-preserving gradient descent for distributed genome-wide analysis

2021

Other Outputs

Trust in artificial Intelligence: a five country study

Gillespie, Nicole, Lockey, Steve and Curtis, Caitlin (2021). Trust in artificial Intelligence: a five country study. Brisbane, Australia; New York, United States: The University of Queensland; KPMG. doi: 10.14264/e34bfa3

Trust in artificial Intelligence: a five country study

Featured

2020

Other Outputs

Submission to the Review of the Privacy Act 1988 (Cth)

Curtis, Caitlin, Gillespie, Nicole and Lockey, Steve (2020). Submission to the Review of the Privacy Act 1988 (Cth). Australia: The University of Queensland & Australian Government: Attorney-General's Department. doi: 10.14264/501b50f

Submission to the Review of the Privacy Act 1988 (Cth)

2020

Other Outputs

Achieving Trustworthy AI: A Model for Trustworthy Artificial Intelligence

Gillespie, Nicole, Curtis, Caitlin, Bianchi, Rossana, Akbari, Ali and Fentener van Vlissingen, Rita (2020). Achieving Trustworthy AI: A Model for Trustworthy Artificial Intelligence. Australia: The University of Queensland and KPMG. doi: 10.14264/ca0819d

Achieving Trustworthy AI: A Model for Trustworthy Artificial Intelligence

2020

Other Outputs

Australians have low trust in artificial intelligence and want it to be better regulated

Curtis, Caitlin, Gillespie, Nicole and Lockey, Steven (2020, 10 29). Australians have low trust in artificial intelligence and want it to be better regulated The Conversation

Australians have low trust in artificial intelligence and want it to be better regulated