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2020 – today
- 2024
[i2]Melanie J. McGrath, Andreas Duenser, Justine Lacey, Cécile Paris:
Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration. CoRR abs/2404.01615 (2024)- 2023
- [j5]David M. Douglas
, Justine Lacey, David Howard:
Ethical risks of AI-designed products: bespoke surgical tools as a case study. AI Ethics 3(4): 1117-1133 (2023) - [j4]Alice Schacher, Erin Roger, Kristen Jennifer Williams, Matthew P. Stenson, Ben Sparrow, Justine Lacey:
Use-Specific Considerations for Optimising Data Quality Trade-Offs in Citizen Science: Recommendations from a Targeted Literature Review to Improve the Usability and Utility for the Calibration and Validation of Remotely Sensed Products. Remote. Sens. 15(5): 1407 (2023) - 2022
- [j3]David M. Douglas, Justine Lacey, David Howard:
Ethical responsibility and computational design: bespoke surgical tools as an instructive case study. Ethics Inf. Technol. 24(1): 11 (2022) - 2021
- [j2]David M. Douglas, David Howard, Justine Lacey:
Moral responsibility for computationally designed products. AI Ethics 1(3): 273-281 (2021) - [i1]Conrad Sanderson, David Douglas, Qinghua Lu, Emma Schleiger, Jon Whittle, Justine Lacey, Glenn J. Newnham, Stefan Hajkowicz, Cathy Robinson, David Hansen:
AI Ethics Principles in Practice: Perspectives of Designers and Developers. CoRR abs/2112.07467 (2021)
2010 – 2019
- 2014
- [j1]Fabien Medvecky, Justine Lacey, Peta Ashworth:
Examining the Role of Carbon Capture and Storage Through an Ethical Lens. Sci. Eng. Ethics 20(4): 1111-1128 (2014)
Coauthor Index
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