Michelle Seng Ah Lee

According to our database, Michelle Seng Ah Lee authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bias Mitigation Methods: Applicability, Legality, and Recommendations for Development.

Madeleine Waller, Odinaldo Rodrigues, Michelle Seng Ah Lee, Oana Cocarascu

J. Artif. Intell. Res., 2024

2023

Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service".

Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Singh

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Practical fundamental rights impact assessments.

Heleen Janssen, Michelle Seng Ah Lee, Jatinder Singh

Int. J. Law Inf. Technol., 2022

Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits.

Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu

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.

Michelle Seng Ah Lee, Luciano Floridi

Minds Mach., 2021

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

Michelle Seng Ah Lee, Luciano Floridi, Jatinder Singh

AI Ethics, 2021

Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems.

Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Differential Tweetment: Mitigating Racial Dialect Bias in Harmful Tweet Detection.

Ari Ball-Burack, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Singh

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Landscape and Gaps in Open Source Fairness Toolkits.

Michelle Seng Ah Lee, Jatinder Singh

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.

Michelle Seng Ah Lee, Jatinder Singh

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Centering the Law in the Digital State.

Jennifer Cobbe, Michelle Seng Ah Lee, Heleen Janssen, Jatinder Singh

Computer, 2020

Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'.

Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Context-conscious fairness in using machine learning to make decisions.

Michelle Seng Ah Lee

AI Matters, 2019