About me
Hi! I’m Yulu Pi (all my friends call me Niki). I am currently a Postdoctoral Research Associate at the Research Center Trustworthy Data Science and Security, University of Duisburg-Essen, where I work under Prof. Jat Singh in the Compliant and Accountable Systems research group, focusing on the intersection of technology, law, and society.
I completed my PhD at the University of Warwick, focusing on XAI and AI governance. Before my PhD, I worked in several governmental and international organizations. My research centers on enhancing the transparency and fairness of AI by leveraging concepts and techniques from Human-Computer Interaction (HCI) and cognitive science literature. My work extends beyond technical and design issues to consider how explainability can be incorporated into governance.
I have also worked with The Leverhulme Centre for the Future of Intelligence at the University of Cambridge on the In-Depth EU AI Act Toolkit project, where we designed a toolkit for small and medium-sized companies to ensure ethical and compliance considerations from the stage of project ideation to product deployment.
I was an Enrichment Fellow at The Alan Turing Institute from 2024 to 2025.
PUBLICATIONS
Papers:
- Pi, Y., Proctor, M. (2025) Toward empowering AI governance with redress mechanisms. Cambridge Forum on AI: Law and Governance
- Pi, Y. et al. (2025, second author) A Toolkit for Compliance, a Toolkit for Justice: Drawing on Cross-sectoral Expertise to Develop a Pro-justice EU AI Act Toolkit, ACM FAccT 2025
- Pi, Y. et al. (2025, project lead) Credit where credit is due: How can we explain AI’s role in credit decisions for consumers?
- Pi, Y., Bettison, E. Detecting and Analyzing Manipulative Behaviors in AI Assistants Using Simulated Interactions, AAAI Special Track on AI Alignment (Under Review)
- Pi, Y. et al. (first author) Interactive AI and Human Behavior: Challenges and Pathways for AI Governance, 8th AAAI/ACM Conference on AI, Ethics, and Society
- Pi, Y. et al. (2024) From Stem to Stern: Contestability Along AI Value Chains, ACM CSCW 2024
- Pi, Y. et al. (2024, second author) Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges, ACM ICAIF 2024
- Pi, Y. et al. (2024) Compliance Cards: Computational Artifacts for Automated AI Regulation Compliance, NeurIPS 2024 Workshop on Regulatable ML
- Pi, Y. et al. (2024, supervision) Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment, 2024 NeurIPS AdvML-Frontiers workshop
- Pi, Y. et al. (2024) Measuring Fairness in Financial Transaction Machine Learning Models
- Pi, Y. (2023). INFEATURE: An Interactive Feature-Based-Explanation Framework for Non-technical Users. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2023. Lecture Notes in Computer Science, vol 14050. Springer, Cham.
- Pi, Y. (2023) Missing Value Chain in Generative AI Governance: China as an example, NeurIPS 2023 Workshop on Regulatable ML
- Pi, Y., Turkay, C. (2022) A Multidisciplinary Literature Review and Framework For AI-Assisted Policymaking. Data for Policy 2022.
- Pi, Y. (2021). Machine learning in Governments: Benefits, Challenges and Future Directions. JeDEM - EJournal of EDemocracy and Open Government, 13(1), 203–219.
Think Tank Reports:
- The four fundamentals of trustworthy AI
- Explainability of AI: Progress and Trends in Global Governance
- Comparison Of U.S. And EU Approaches to The Regulation of Artificial Intelligence
- Liability rules: EU regulation of artificial intelligence goes a step forward
- The Age of Artificial Intelligence: Wealth for Everyone? With Friedrich-Ebert-Stiftung and Intellisia Institute.
Fun Facts
🌍 I’ve lived in 4 continents and 6 countries and counting.
👠 I used to run a fashion blog with 800,000 followers.
👩🏻💼 I once achieved my dream of working for the UN, but made a pivot to work on AI.
Feel free to ask me more about any of these facts when we meet! Always eager to meet and bond with fellow enthusiasts.
Don’t hesitate to get in touch if you would like to learn more about me/my research/potential collaboration opportunities.
