APA (7th ed.) Citation

Shulner-Tal, A., Kuflik, T., & Kliger, D. (2022). Fairness, explainability and in-between: Understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system. Ethics and information technology, 24(1), . https://doi.org/10.1007/s10676-022-09623-4

Chicago Style (17th ed.) Citation

Shulner-Tal, Avital, Tsvi Kuflik, and Doron Kliger. "Fairness, Explainability and In-between: Understanding the Impact of Different Explanation Methods on Non-expert Users’ Perceptions of Fairness Toward an Algorithmic System." Ethics and Information Technology 24, no. 1 (2022). https://doi.org/10.1007/s10676-022-09623-4.

MLA (9th ed.) Citation

Shulner-Tal, Avital, et al. "Fairness, Explainability and In-between: Understanding the Impact of Different Explanation Methods on Non-expert Users’ Perceptions of Fairness Toward an Algorithmic System." Ethics and Information Technology, vol. 24, no. 1, 2022, https://doi.org/10.1007/s10676-022-09623-4.