| The landscape and gaps in open source fairness toolkits MSA Lee, J Singh Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021 | 120 | 2021 |
| Algorithmic fairness in mortgage lending: from absolute conditions to relational trade-offs MSA Lee, L Floridi Minds and Machines, 2020 | 74 | 2020 |
| Reviewable automated decision-making: A framework for accountable algorithmic systems J Cobbe, MSA Lee, J Singh Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 67 | 2021 |
| Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics MSA Lee, L Floridi, J Singh AI and Ethics 1 (4), 529-544, 2021 | 59 | 2021 |
| Exploring how machine learning practitioners (try to) use fairness toolkits WH Deng, M Nagireddy, MSA Lee, J Singh, ZS Wu, K Holstein, H Zhu Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 51 | 2022 |
| Differential tweetment: Mitigating racial dialect bias in harmful tweet detection A Ball-Burack, MSA Lee, J Cobbe, J Singh Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 41 | 2021 |
| Monitoring misuse for accountable'artificial intelligence as a service' SA Javadi, R Cloete, J Cobbe, MSA Lee, J Singh Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 300-306, 2020 | 29 | 2020 |
| Innovating with Confidence: Embedding AI Governance and Fairness in a Financial Services Risk Management Framework M Lee, L Floridi, A Denev Berkeley Technology Law Journal 34 (2), 2020 | 20 | 2020 |
| Risk identification questionnaire for detecting unintended bias in the machine learning development lifecycle MSA Lee, J Singh Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 704-714, 2021 | 18 | 2021 |
| Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service” K Lewicki, MSA Lee, J Cobbe, J Singh Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 14 | 2023 |
| From fairness metrics to key ethics indicators (KEIs): a context-aware approach to algorithmic ethics in an unequal society M Lee, L Floridi https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3679975, 2020 | 12 | 2020 |
| Context-conscious fairness in using machine learning to make decisions MSA Lee AI Matters 5 (2), 23-29, 2019 | 8 | 2019 |
| Risk identification questionnaire for unintended bias in machine learning development lifecycle MSA Lee, J Singh Available at SSRN, 2021 | 6 | 2021 |
| Spelling errors and non-standard language in peer-to-peer loan applications and the borrower’s probability of default MSA Lee, J Singh Lee, Michelle Seng Ah and Jatinder Singh." Spelling Errors and Non-Standard …, 2021 | 5 | 2021 |
| Centering the Law in the Digital State J Cobbe, MSA Lee, H Janssen, J Singh Computer 53 (10), 47-58, 2020 | 5 | 2020 |
| AI and risk management T Bigham, A Tua, T Mews, S Nair, V Gallo, M Fouche, S Soral, M Lee Centre for Regulatory Strategy EMEA, Deloitte, 32, 2018 | 5 | 2018 |
| Centering the rule of law in the digital state J Cobbe, MSA Lee, H Janssen, J Singh | 2 | 2019 |
| Defining the scope of AI ADM system risk assessment MSA Lee, J Cobbe, H Janssen, J Singh Research Handbook on EU Data Protection Law, 405-434, 2022 | 1 | 2022 |
| Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits W Hanwen Deng, M Nagireddy, MSA Lee, J Singh, ZS Wu, K Holstein, ... arXiv e-prints, arXiv: 2205.06922, 2022 | | 2022 |
| Differential Tweetment A Ball-Burack, MSA Lee, J Cobbe, J Singh Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | | 2021 |
Jatinder SinghCompliant & Accountable Systems Group, University of CambridgeVerified email at cl.cam.ac.uk
