Publications

2-min Video summary of phd work

Academic journals

Lee, Michelle Seng Ah, Luciano Floridi, and Jatinder Singh. “Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics.” AI & Ethics Journal (2021). Link

An excellent paper which shows the potential to be foundational, as more scholars research the benefits and limitations of enterprise tools aimed at reducing algorithmic bias.

Feedback, AI & Ethics Journal reviewer

Lee, Michelle Seng Ah and Jatinder Singh. “Risk identification questionnaire for unintended bias in machine learning development lifecycle.” [Accepted and pending publication at AIES 2021]. Link to pre-print

Lee, Michelle Seng Ah and Jatinder Singh. “The Landscape and Gaps in Open Source Fairness Toolkits.” ACM CHI Conference on Human Factors in Computing 2021. Link

Winner, Best Paper Award 2021 

This was a well-written, thoughtful and interesting paper. The study was well-designed and well-conceived — a clever approach to understanding these tools that has not been done before. In short, I hope this paper is published so that I can cite it. It is hard to find fault with the paper… A pleasure to read.

Feedback, CHI reviewer

Lee, Michelle Seng Ah and Luciano Floridi. “Algorithmic fairness: from absolute conditions to relational trade-offs.” Minds and Machines (2020). Link

Lee, Michelle Seng Ah and Jatinder Singh. “Spelling errors and non-standard language in peer-to-peer loan applications and the borrower’s probability of default.” [Accepted and pending publication at 2021 Credit Scoring and Credit Control Conference XVII]. Link to pre-print

Lee, Michelle Seng Ah. “Context-conscious fairness in using machine learning to make decisions.” AI Matters 5.2 (2019): 23-29. Link

Winner, ACM SIGAI Essay Contest 2018

This piece is exceptionally well thought-out and presented. The summary of some notions of fairness is nice. I appreciate the engagement around the issue of whether the alternative to ML may be a worse model, and both tradeoffs are well described. This is a terrific essay!

Feedback, ACM Special Interest Group on Artificial Intelligence (ACM SIGAI)

Lee, Michelle Seng Ah, Luciano Floridi, and Alexander Denev. “Innovating with confidence: Embedding AI governance and fairness in financial services risk management framework.” Berkeley Technology Law Journal (2020). Link

J. Cobbe, M. Lee, J. Singh. “Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems.” ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2021. Link

A. Ball-Burack, J. Cobbe, M. Lee, J. Singh. “Differential Tweetment: Differential Tweetment: Mitigating Racial Dialect Bias in Harmful Tweet Detection.” ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2021. Link

Seyyed, Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee and Jatinder Singh. “Monitoring ‘artificial intelligence as a service’ for misuse.” Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (2020). Link

J. Cobbe, M. Lee, H. Janssen and J. Singh, “Centering the Law in the Digital State” in Computer (2020), vol. 53, no. 10, pp. 47-58. Link


book chapters

Lee, Michelle Seng Ah, Jennifer Cobbe, Heleen Janssen, and Jatinder Singh. “Shifting the conceptual framing of guidance from AI/ADM technology to specific risk factors.” European Data Protection Handbook 2021. [accepted and pending publication]


white papers

[Contributor] “Building trustworthy AI: A comprehensive approach to conduct, data protection, and ethics.” Deloitte Centre for Regulatory Strategy, EMEA (2020). Link

Guszcza, Jim, Michelle Seng Ah Lee, Beena Ammanath, and Dave Kuder. “Human values in the loop: Design principles for ethical AI.” Deloitte Review (2020). Link

Bigham, Tom, Valeria Gallo, Suchitra Nair, Michelle Seng Ah Lee, Sulabh Soral, Tom Mews, Alan Tua, and Morgane Fouche. “AI and Risk Management: Innovating with Confidence.” Deloitte Centre for Regulatory Strategy, EMEA (2018). Link


Blog posts

“Challenges of fairness in AI decisions.” UK Financial Services Insights, Deloitte UK (2019). Link

“How do we leverage the new opportunities of AI for greater financial inclusion?” DataKind UK Medium (2019). Link

“Data Ethics in combating COVID-19 after lockdown.” Featured in Cambridge Trust & Technology Initiative, Research Perspectives (2020). Link

  • Part 1/2 on ethics of data-driven contact tracing: Medium link
  • Part 2/2 on ethics of data-driven quarantine enforcement: Medium link

“BTLJ article summary: Embedding AI governance and fairness in a financial services risk management framework” UK Financial Services Insights, Deloitte UK (2020). Link

“Risk-based approach to AI ethics: operationalising values and principles” UK Financial Services Insights, Deloitte UK (2020). Link

“Cost of proxy bias: consumer reaction to perceived algorithmic discrimination” UK Financial Services Insights, Deloitte UK (2020). Link

“Landscape and gaps in open source fairness toolkits” UK Financial Services Insights, Deloitte UK (2020). Link

“Why technology cannot solve algorithmic fairness” UK Financial Services Insights, Deloitte UK (2020).

  • Part 1: Gaps between how computer scientists and ethical philosophers define fairness Link
  • Part 2: Gaps between how computer scientists and welfare economists define fairness Link
  • Part 3: From fairness metrics to Key Ethics Indicators (KEIs) Link

“How to spot unintended biases in machine learning” UK Financial Services Insights, Deloitte UK (2021). Link

“How a blind programmer writes code” UK Financial Services Insights, Deloitte UK (2021). Link


research experience

AI & Ethics journal, springer (2020-present)

editorial board

OXFORD DIGITAL ETHICS LAB (2019)

c/o Professor luciano floridi
  • Formalising framework of fairness

imperial college (2017-2019)

c/o professor tarun ramadorai
  • Web scraping of privacy policies and application of NLP techniques to analyse patterns
  • Past research: predicting default using open source credit data

Stanford university (2010-2013)

c/o dept. of statistics (2013)
  • Provided consulting services to Stanford affiliates in experiment design, model fitting, time series, classification/prediction
c/o professor joel beinin, history dept. (2010-2012)
  • Social movement theory research in the West Bank and Tunisia (Arabic, French)

harvard university (2008-2010)

c/o professor e roger owen, center for middle east studies
  • Archival research, incl. al-Muqtataf and al-Jarida from the early 18th c. to study the 1907 Egyptian economic crisis