Yulu Pi
Scholar

Yulu Pi

Google Scholar ID: r_GBuE8AAAAJ
University of Warwick
Human-AI interactionAI governance
Citations & Impact
All-time
Citations
77
 
H-index
3
 
i10-index
1
 
Publications
16
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Papers:
  • - Toward empowering AI governance with redress mechanisms (Cambridge Forum on AI: Law and Governance, 2025)
  • - A Toolkit for Compliance, a Toolkit for Justice (ACM FAccT 2025)
  • - Credit where credit is due: How can we explain AI’s role in credit decisions for consumers? (2025)
  • - Moral Persuasion in Large Language Models (2024 NeurIPS AdvML-Frontiers workshop)
  • - Machine learning in Governments (JeDEM - EJournal of EDemocracy and Open Government, 2021)
  • - INFEATURE: An Interactive Feature-Based-Explanation Framework for Non-technical Users (HCII 2023)
  • - Missing Value Chain in Generative AI Governance (NeurIPS 2023 Workshop on Regulatable ML)
  • - A Multidisciplinary Literature Review and Framework For AI-Assisted Policymaking (Data for Policy 2022)
  • - 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?
Research Experience
  • - Work Experience: Worked in multiple governmental and international organizations before joining the PhD program
  • - Research Projects: Collaborating with The Leverhulme Centre for the Future of Intelligence at the University of Cambridge on the In-Depth EU AI Act Toolkit project
  • - Position: Starting as an Enrichment Fellow at The Alan Turing Institute in October 2024
Education
  • - PhD: University of Warwick, advisor not mentioned, time not specified, majoring in AI governance
  • - Other educational background information insufficient
Background
  • - Research Interests: Enhancing the transparency and fairness of AI
  • - Professional Field: Human-Computer Interaction, Cognitive Science, Responsible AI
  • - Brief Introduction: Currently a PhD candidate at the University of Warwick. Worked in several governmental and international organizations before starting her PhD. Her research focuses on leveraging concepts and techniques from HCI and cognitive science to improve AI transparency and fairness, and considers how explainability can be incorporated into governance.
Miscellany
  • - Personal Interests: Used to run a fashion blog with 800,000 followers
  • - Life Experiences: Lived in 4 continents and 6 countries
  • - Career: Achieved her dream of working for the UN, but later pivoted to work on AI
Co-authors
0 total
Co-authors: 0 (list not available)