Examining the Role of Carbon Capture and Storage Through an Ethical Lens. - Fabien Medvecky; Justine Lacey; Peta Ashworth (Sci. Eng. Ethics, 2014)

Moral responsibility for computationally designed products. - David M. Douglas; David Howard 001; Justine Lacey (AI Ethics, 2021)

AI Ethics Principles in Practice: Perspectives of Designers and Developers. - Conrad Sanderson; David Douglas; Qinghua Lu 001; Emma Schleiger; Jon Whittle 001; Justine Lacey; Glenn J. Newnham; Stefan Hajkowicz; Cathy Robinson; David Hansen (CoRR, 2021)

Ethical responsibility and computational design: bespoke surgical tools as an instructive case study. - David M. Douglas; Justine Lacey; David Howard 001 (Ethics Inf. Technol., 2022)

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. - Alice Schacher; Erin Roger; Kristen Jennifer Williams; Matthew P. Stenson; Ben Sparrow; Justine Lacey (Remote. Sens., 2023)

Ethical risks of AI-designed products: bespoke surgical tools as a case study. - David M. Douglas; Justine Lacey; David Howard 001 (AI Ethics, 2023)

Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration. - Melanie J. McGrath; Andreas Duenser; Justine Lacey; Cécile Paris (CoRR, 2024)

Ethical risk for AI. - David M. Douglas; Justine Lacey; Gerard David Howard (AI Ethics, 2025)