Responsible AI

Investigating how AI ethical principles are used in practice

From 2020 to 2023, I was part of a multidisciplinary research project at the CSIRO investigating how AI ethics principles are used in practice by the developers and users of AI systems. Insights from interviews with researchers who develop or use AI in their work was used to inform the development of a set of design patterns AI developers can use to develop responsible AI systems.

As part of this broad project, I conducted researcher interviews, helped to analyse the interview transcripts, and contributed to the published research papers listed below. I also contributed to conceptual work on what ‘trust’ means in the context of AI.

The official project page can be found here: An Operationalised Guidelines for Responsible AI (CSIRO).

An interview with Qinghua Lu, the project leader, about the goals of the project can be found here: AI You can Trust, Thanks to New Reusable Guidelines (CSIRO) .



  1. Resolving Ethics Trade-offs in Implementing Responsible AI
    Conrad Sanderson, Emma Schleiger, David Douglas, Petra Kuhnert, and Qinghua Lu
    Sep 2024


  1. AI Ethics Principles in Practice: Perspectives of Designers and Developers
    Conrad Sanderson, David Douglas, Qinghua Lu, Emma Schleiger, Jon Whittle, Justine Lacey, Glenn Newnham, Stefan Hajkowicz, Cathy Robinson, and David Hansen
    IEEE Transactions on Technology and Society, Jun 2023
    Conference Name: IEEE Transactions on Technology and Society
  2. Who to Trust, How and Why: Untangling AI Ethics Principles, Trustworthiness and Trust
    Andreas Duenser, and David M. Douglas
    IEEE Intelligent Systems, Jun 2023
  3. Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
    Conrad Sanderson, David Douglas, and Qinghua Lu
    arXiv preprint arXiv:2304.08275, Jun 2023


  1. Towards Operationalising Responsible AI: An Empirical Study
    Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, and Jon Whittle
    arXiv:2205.04358 [cs], May 2022
    arXiv: 2205.04358
  2. Software engineering for responsible AI: An empirical study and operationalised patterns
    Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, and Conrad Sanderson
    In Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, May 2022