Michelle Seng Ah Lee

Michelle Seng Ah Lee is a scholar specializing in AI ethics and fairness research. She earned her PhD from the Department of Computer Science and Technology at the University of Cambridge. Her research interests include algorithmic fairness, ethical oversight of AI, and methods to mitigate unintentional bias in machine learning systems. As a member of Cambridge University’s "Compliance and Accountability Systems Research Group," Michelle is dedicated to providing innovative solutions for the fairness and accountability of AI systems. She has published numerous papers in top-tier academic conferences and journals and actively contributes to addressing ethical challenges posed by AI technologies in real-world applications.

• 2023–Present·Compliance and Accountability Systems Research Group, University of Cambridge·Research Fellow
  • Focuses on AI ethics and fairness research, developing frameworks for algorithmic accountability and bias mitigation strategies.

• 2019–2022·University of Cambridge·PhD
  • Computer Science and Technology, with an emphasis on AI ethics and fairness.
• Undergraduate and Master's | Institution unknown | Political Science (based on partial information)
  • Awarded research honors, potentially involving studies in political science.