Examining Algorithmic Fairness through Case Studies
This report presents the results of a case study conducted in SAPI's 2021 summer short-term research program. According to the official description, law school student researchers compiled materials under the guidance and review of faculty advisors and attorneys. It was released on the website in 2022-04-14.
The materials introduce major audit research cases investigating fairness in algorithmic decision-making. It is explained that the content is structured so that not only researchers but also AI developers, implementers, and policymakers can review the questions and evaluation methods for each case. It also serves as a record of activities connecting researcher training and interdisciplinary discourse.
Material Information
- Title
- Algorithmic Fairness Audit Research Case Study Report
- Material Guide
- SAPI 2021 Summer Short-Term Research Program Participating Researchers
- Material type
- Research Report
- Inclusion and Publication Information
- 2022 year
- Web Posting Date
- 2022.04.14
Read the Original Text
The original text is provided on the page disclosed by the publishing institution. Please review the original together to understand the detailed arguments and context at the time of writing.
Questions for Reflection While Reading
- What comparisons can reveal differences in algorithmic outcomes?
- How do judgments vary according to fairness criteria and data collection methods?
Related Research Agendas
You can further explore related questions in subject-specific commentaries and foundational literature.
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Citation information for the materials
SAPI 2021 Summer Short-Term Research Program Research Team. Algorithmic Fairness Audit Research Case Study Report. 2022. https://sapi.co.kr/%EC%95%8C%EA%B3%A0%EB%A6%AC%EC%A6%98-%EA%B3%B5%EC%A0%95%EC%84%B1-%EA%B0%90%EC%82%AC%EC%97%B0%EA%B5%AC-%EC%82%AC%EB%A1%80%EC%A1%B0%EC%82%AC-%EB%B3%B4%EA%B3%A0%EC%84%9C/