New agendas for data justice
Thursday 07 Apr 2022
Time: 09:00 - 17:30
Bio
Morgan is the Research Associate for Data Science and Ethics for the Public Policy Programme, and a Visiting Research Fellow at the Digital Environment Research Institute (DERI) at Queen Mary University of London. Trained as a data scientist, she works on a variety of projects relating to human rights and AI, the use of data science to improve public service provision and policy innovation, as well as the ethical considerations of data science methodologies. Morgan has experience leading cross-disciplinary teams, partnering with organisations like the ICO, UNICEF, the Scottish AI Alliance, UNESCO, the Office for AI, the Council of Europe’s Committee on Artificial Intelligence, and the Global Partnership on AI. She leads on outputs that span multiple teams and produces reports and academic papers. In 2023, she completed a secondment with the Director and Co-Director for Public Policy focused on developing a new strategy and research agenda relating to digital society and policy.
Morgan’s research has centred on human rights and social justice as they relate to AI and digital technologies. She serves as a researcher on various projects for the Council of Europe, including work on the zero draft of the Committee on Artificial Intelligence’s (CAI) Human Rights, Democracy, and the Rule of Law Impact Assessment for AI to accompany its forthcoming AI Convention. She also contributed to the writing and production of Human Rights, and Democracy, and the Rule of Law Assurance Framework for AI Systems produced for the Council of Ministers, as well as a Primer to support the Ad Hoc Committee on Artificial Intelligence’s (CAHAI) Feasibility Study, later translated into French and Dutch.
Additionally, Morgan’s research covers children’s rights and AI, beginning first with involvement in UNICEF’s Pilot Partner Programme and continuing with the project Exploring Children’s Rights and AI with the Scottish AI Alliance and Children’s Parliament. Related to this project, she led the Institute’s response to the Department for Education’s Call for Evidence on Generative AI in Education.
Morgan is a researcher on a project commissioned by the Global Partnership on AI (GPAI) entitled Advancing Data Justice Research and Practice where she contributed to the production of documentary episodes and five major written outputs including a use case repository and guides for policymakers, impacted communities, and developers. She has also worked on projects relating to AI explainability building upon the Turing and ICO’s co-badged guidance, Explaining decisions made with AI.
In addition to her work at the Turing, Morgan brings her background in social data science to topics such as food security and remote sensing, renewable energy, and ethical considerations of data science methodologies and digital technologies. She has advised multiple NGOs on applications of data science and AI to various projects relating to the UN Sustainable Development Goals.
Morgan holds an MSc in Social Data Science from the University of Oxford, awarded with distinction, and a BSB from Wake Forest University where she studied Business Data Analytics and Religion.
List of publications and other written works
Leslie, D., Rincón, C., Briggs, M., Perini, A., Jayadeva, S., Borda, A., Bennett, SJ. Burr, C., Aitken, M., Katell, M., Fischer, C., Wong, J., and Kherroubi Garcia, I. (2023). AI Fairness in Practice. The Alan Turing Institute. AI Ethics and Governance in Practice: AI Fairness in Practice | The Alan Turing Institute
Leslie, D., Rincón, C., Briggs, M., Perini, A., Jayadeva, S., Borda, A., Bennett, SJ. Burr, C., Aitken, M., Katell, M., Fischer, Wong, J., and Kherroubi Garcia, I. (2023). AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow. The Alan Turing Institute. AI Ethics and Governance in Practice: AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow | The Alan Turing Institute
Leslie, D., Rincón, C., Briggs, M., Perini, A., Jayadeva, S., Borda, A., Bennett, SJ. Burr, C., Aitken, M., Katell, M., Fischer, Wong, J., and Kherroubi Garcia, I. (2023). AI Sustainability in Practice. Part Two: Sustainability Throughout the AI Workflow. The Alan Turing Institute. AI Ethics and Governance in Practice: AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects | The Alan Turing Institute
Leslie, D., Rincón, C., Briggs, M., Perini, A., Jayadeva, S., Borda, A., Bennett, SJ. Burr, C., Aitken, M., Katell, M., Fischer, Wong, J., and Kherroubi Garcia, I. (2023). AI Ethics and Governance in Practice: An Introduction. The Alan Turing Institute. AI Ethics and Governance in Practice: An Introduction | The Alan Turing Institute
Mahomed, S., Briggs, M., Wong, J., & Aitken, M. (2023). Navigating Children’s Rights and AI in the UK: A roadmap through uncertain territory. Research Square Preprint. https://www.researchsquare.com/article/rs-3377300/v1
The Alan Turing Institute. (August 2023). “Response to the Department for Education’s Call for Evidence on Generative AI in Education.” https://www.turing.ac.uk/news/publications/response-government-call-evidence-generative-ai
Briggs, M. & Leslie, D. (February 2023). “Insights from Phase 2 of Project ExplAIn.” https://www.turing.ac.uk/news/project-explain/insights-from-phase-two
Aitken, M. & Briggs, M. (2022). Engaging children with AI ethics. In AI, data science, and young people. Understanding computing education (Vol 3). Proceedings of the Raspberry Pi Foundation Research Seminars. https://www.raspberrypi.org/app/uploads/2022/06/Engaging-children-with-AI-ethics-Aitken-M-and-Briggs-M.pdf
Briggs, M., Aitken, M., & Leslie, D. (2021). “Is the public sector ready for child-centred AI?” Scotland AI Strategy Guest Blog Series. https://www.scotlandaistrategy.com/news/is-the-public-sector-ready-for-child-centred-ai
Pauwels, E., Briggs, M., Aitken, M., Leslie, D. (2021). Case Study: Understanding AI Ethics and Safety for Children: The
Briggs, M. (2021). SatDash: An Interactive Dashboard for Assessing Land Damage in Nigeria and Mali. In ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) (COMPASS ’21), June 28-July 2, 2021, Virtual Event, Australia. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3460112.3471949
Leslie, D., Burr, C., Aitken, M., Cowls, J., Briggs, M. (2021). Artificial intelligence, human rights, democracy, and the rule of law: A primer. The Council of Europe. https://www.turing.ac.uk/sites/default/files/2021-03/cahai_feasibility_study_primer_final.pdf
Leslie, D., Burr, C., Aitken, M., Cowls, J., Briggs, M. (2021), Intelligence artificielle, droits de l’homme, démocratie et État de droit. Guide introductif, Conseil de l’Europe. Translation by the Council of Europe.
Leslie, D., Burr, C., Aitken, M., Cowls, J., Briggs, M. (2021), Artificiële intelligentie, mensenrechten, democratie, en de rechtsstaat: Een introductie. The Council of Europe - i.s.m. KDM en ALLAI, Nederlandse vertaling door Valcke, P., Muller, C. en Goetry, B.
Leslie, D. & Briggs, M. (2021). Explaining decisions made with AI: A Workbook (Use case 1: AI-assisted recruitment tool). http://dx.doi.org/10.2139/ssrn.3808512
Leslie, D. & Briggs, M. (2021). Explaining decisions made with AI: A Workbook (Use case 2: Machine learning for children’s social care). http://dx.doi.org/10.2139/ssrn.3808517
Wright, J., Leslie, D., Raab, C., Kitagawa, F., Ostmann, F., & Briggs, M. (2021). Privacy, Agency, and Trust in Human-AI
Advancing Data Justice Research and Practice Team. Interim Report. (2021). Prepared for the 2021GPAI Summit.
Leslie, D. & Briggs, M. (2021). “Project ExplAIn enters its next phase.” https://www.turing.ac.uk/blog/project-explain-
