BIBLIOGRAPHY

  1. Chiara Accinelli, Barbara Catania, Giovanna Guerrini, Simone Minisi. A Coverage-based Approach to Nondiscrimination-aware Data Transformation. ACM J. Data Inf. Qual. 14(4): 26:1-26:26 (2022)
  2. Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish. Assessing and Remedying Coverage for a Given Dataset. ICDE 2019: 554-565
  3.  Barbara Catania, Giovanna Guerrini, Chiara Accinelli. Fairness & friends in the data science era. AI Soc. 38(2): 721-731 (2023)
  4. Nick Couldry & Ulises Ali Mejía’s (2021): The decolonial turn in data and technology research: what is at stake and where is it heading? Information, Communication & Society, DOI: 10.1080/1369118X.2021.1986102 ;
  5. F. Kamiran and T. Calders. Data Preprocessing Techniques for Classification without Discrimination. Knowledge and Information Systems, 2012.
  6. Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. A Survey on Bias and Fairness in Machine Learning.In: ACM Comput. Surv. 54.6 (2021),115:1–115:35
  7. Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish. Representation Bias in Data: A Survey on Identification and Resolution Techniques CoRR abs/2203.11852 (2022)
  8. Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das. Fairness-Aware Range Queries for Selecting Unbiased Data. ICDE 2022: 1423-1436
  9. Responsible Data Science at the Center for Data Science at NYU: 2020 Spring semester: DS-GA 3001.009: Special Topics in Data Science: Responsible Data Science, taught by Julia Stoyanovich, with a special reference to this notebook