Michelle Seng Ah Lee

17 papers A* 2C 2Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Bias Mitigation Methods: Applicability, Legality, and Recommendations for Development.
J. Artif. Intell. Res.
Madeleine Waller, Odinaldo Rodrigues, Michelle Seng Ah Lee, Oana Cocarascu
2023 A* conf
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service".
CHI
Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Singh
2023 J jnl
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service".
CoRR
Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Singh
2022 — conf
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits.
FAccT
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu
2022 J jnl
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits.
CoRR
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu
2022 J jnl
Practical fundamental rights impact assessments.
Int. J. Law Inf. Technol.
Heleen Janssen, Michelle Seng Ah Lee, Jatinder Singh
2021 J jnl
Algorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs.
Minds Mach.
Michelle Seng Ah Lee, Luciano Floridi
2021 — conf
Differential Tweetment: Mitigating Racial Dialect Bias in Harmful Tweet Detection.
FAccT
Ari Ball-Burack, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Singh
2021 J jnl
Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics.
AI Ethics
Michelle Seng Ah Lee, Luciano Floridi, Jatinder Singh
2021 — conf
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems.
FAccT
Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh
2021 J jnl
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems.
CoRR
Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh
2021 C conf
Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle.
AIES
Michelle Seng Ah Lee, Jatinder Singh
2021 A* conf
The Landscape and Gaps in Open Source Fairness Toolkits.
CHI
Michelle Seng Ah Lee, Jatinder Singh
2020 J jnl
Centering the Law in the Digital State.
Computer
Jennifer Cobbe, Michelle Seng Ah Lee, Heleen Janssen, Jatinder Singh
2020 C conf
Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'.
AIES
Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh
2020 J jnl
Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'.
CoRR
Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh
2019 J jnl
Context-conscious fairness in using machine learning to make decisions.
AI Matters
Michelle Seng Ah Lee