References

No references inside the corpus for this window.

Cited by

• 2021Incorporating FAT and privacy aware AI modeling approaches into business decision making frameworks51 cited
• 2021Interactive storytelling for children: A case-study of design and development considerations for ethical conversational AI48 cited
• 2023Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models43 cited
• 2020Robust Optimization for Fairness with Noisy Protected Groups43 cited
• 2021Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information40 cited
• 2021Estimation of Fair Ranking Metrics with Incomplete Judgments40 cited
• 2021Mitigating Bias in Set Selection with Noisy Protected Attributes37 cited
• 2012Fairness in Recommender Systems33 cited
• 2022Learning Fair Classifiers with Partially Annotated Group Labels26 cited
• 2021Leveraging Administrative Data for Bias Audits21 cited
• 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited
• 2020The Data Protection Impact Assessment as a Tool to Enforce Non-Discriminatory AI18 cited
• 2021Fairness in Rankings and Recommenders: Models, Methods and Research Directions18 cited
• 2021Fair Classification with Adversarial Perturbations