Michelle Seng Ah Lee

Orcid: 0000-0001-7725-2503

According to our database1, Michelle Seng Ah Lee authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service".
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Practical fundamental rights impact assessments.
Int. J. Law Inf. Technol., 2022

Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Algorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs.
Minds Mach., 2021

Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics.
AI Ethics, 2021

Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Differential Tweetment: Mitigating Racial Dialect Bias in Harmful Tweet Detection.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Landscape and Gaps in Open Source Fairness Toolkits.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Centering the Law in the Digital State.
Computer, 2020

Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Context-conscious fairness in using machine learning to make decisions.
AI Matters, 2019


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