Constructing categories: Moving beyond protected classes in algorithmic fairness
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24643
Abstract: Automated, data‐driven decision making is increasingly common in a variety of application domains. In educational software, for example, machine learning has been applied to tasks like selecting the next exercise for students to complete. Machine… read more here.
Keywords: fairness; constructing categories; moving beyond; categories moving ... See more keywords
Rethinking Algorithmic Fairness in the Context of Information Access
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Association for Information Science and Technology"
DOI: 10.1002/pra2.736
Abstract: The internet has revolutionized the information seeking landscape, heightening expectations that access to information will hasten the attainment of several of the United Nation (UN)'s sustainable development goals (SDGs), although digital and content divides persist… read more here.
Keywords: information; context information; algorithmic fairness; information access ... See more keywords
Contesting the algorithm: advancing a right to challenge AI decisions under the GDPR for algorithmic fairness
Sign Up to like & getrecommendations! Published in 2025 at "Transforming Government: People, Process and Policy"
DOI: 10.1108/tg-05-2025-0148
Abstract: This study aims to challenge the adequacy of Article 22 of the General Data Protection Regulation (GDPR) in safeguarding individuals against harmful automated decisions. It argues that explainability alone is insufficient for algorithmic accountability and… read more here.
Keywords: contesting algorithm; algorithm advancing; analysis; algorithmic fairness ... See more keywords
FairGuard: A Fairness Attack and Defense Framework in Federated Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2024.3520134
Abstract: Algorithmic fairness, emphasizing that machine learning algorithms should not discriminate against specific demographic groups, has recently gained increasing attention in the context of federated learning. Existing algorithmic fairness algorithms in federated learning primarily focus on… read more here.
Keywords: defense framework; algorithmic fairness; federated learning; fairness ... See more keywords
Algorithmic Fairness in the Roberts Court Era
Sign Up to like & getrecommendations! Published in 2022 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1142/9789811270611_0047
Abstract: Scientists and policymakers alike have increasingly been interested in exploring ways to advance algorithmic fairness, recognizing not only the potential utility of algorithms in biomedical and digital health contexts but also that the unique challenges… read more here.
Keywords: roberts court; court era; court; fairness roberts ... See more keywords
A Review of Partial Information Decomposition in Algorithmic Fairness and Explainability
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25050795
Abstract: Partial Information Decomposition (PID) is a body of work within information theory that allows one to quantify the information that several random variables provide about another random variable, either individually (unique information), redundantly (shared information),… read more here.
Keywords: information; fairness explainability; information decomposition; partial information ... See more keywords