9 Publications

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[9]
2025 | Journal Article | LibreCat-ID: 62028
Fahimi, Miriam, Laura State, and Atoosa Kasirzadeh. “From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection.” Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 8, no. 1 (2025): 879–92. https://doi.org/10.1609/aies.v8i1.36597.
LibreCat | DOI
 
[8]
2025 | Conference Paper | LibreCat-ID: 62229
Xenidis, Raphaële, and Miriam Fahimi. “Standardising Equality in the Algorithmic Society? A Research Agenda.” In Proceedings of Fourth European Workshop on Algorithmic Fairness, 310–314. PMLR, 2025.
LibreCat
 
[7]
2025 | Journal Article | LibreCat-ID: 62029
Fahimi, Miriam, and Katharina Kinder-Kurlanda. “Friction in the Materialities of Value. Relating Transparency, Algorithms and Credit Scoring.” Digital Culture & Society 9, no. 2 (2025): 141–60. https://doi.org/10.14361/dcs-2023-0208.
LibreCat | DOI
 
[6]
2024 | Journal Article | LibreCat-ID: 62033
Alvarez, Jose M., Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, et al. “Policy Advice and Best Practices on Bias and Fairness in AI.” Ethics and Information Technology 26, no. 2 (2024). https://doi.org/10.1007/s10676-024-09746-w.
LibreCat | DOI
 
[5]
2024 | Journal Article | LibreCat-ID: 62031
Fahimi, Miriam, Mayra Russo, Kristen M. Scott, Maria-Esther Vidal, Bettina Berendt, and Katharina Kinder-Kurlanda. “Articulation Work and Tinkering for Fairness in Machine Learning.” Proceedings of the ACM on Human-Computer Interaction 8, no. CSCW2 (2024): 1–23. https://doi.org/10.1145/3686973.
LibreCat | DOI
 
[4]
2024 | Book Chapter | LibreCat-ID: 62228
Fahimi, Miriam, Petter Falk, Jonathan W. Y. Gray, Juliane Jarke, Katharina Kinder-Kurlanda, Evan Light, Ellouise McGeachey, et al. “In/Visibilities in Data Studies: Methods, Tools, and Interventions.” In Dialogues in Data Power, 52–79. Bristol University Press, 2024.
LibreCat
 
[3]
2024 | Book Chapter | LibreCat-ID: 62230
Kinder-Kurlanda, Katharina, and Miriam Fahimi. “Making Algorithms Fair: Ethnographic Insights from Machine Learning Interventions.” In Algorithmic Regimes. Methods, Interactions, and Politics., edited by Juliane Jarke, Bianca Prietl, Simon Egbert, Yana Boeva, Hendrik Heuer, and Maike Arnold, 309–330. Amsterdam: Amsterdam University Press, 2024.
LibreCat
 
[2]
2023 | Conference Paper | LibreCat-ID: 62231
State, Laura, and Miriam Fahimi. “Careful Explanations: A Feminist Perspective on XAI.” In Proceedings of the 2nd European Workshop on Algorithmic Fairness. Winterthur, Switzerland: CEUR Workshop Proceedings, 2023.
LibreCat
 
[1]
2022 | Book (Editor) | LibreCat-ID: 62032
Fahimi, Miriam, Elmar Flatschart, and Wolfram Schaffar, eds. State and Statehood in the Global South. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-94000-3.
LibreCat | DOI
 

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9 Publications

Mark all

[9]
2025 | Journal Article | LibreCat-ID: 62028
Fahimi, Miriam, Laura State, and Atoosa Kasirzadeh. “From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias Detection.” Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 8, no. 1 (2025): 879–92. https://doi.org/10.1609/aies.v8i1.36597.
LibreCat | DOI
 
[8]
2025 | Conference Paper | LibreCat-ID: 62229
Xenidis, Raphaële, and Miriam Fahimi. “Standardising Equality in the Algorithmic Society? A Research Agenda.” In Proceedings of Fourth European Workshop on Algorithmic Fairness, 310–314. PMLR, 2025.
LibreCat
 
[7]
2025 | Journal Article | LibreCat-ID: 62029
Fahimi, Miriam, and Katharina Kinder-Kurlanda. “Friction in the Materialities of Value. Relating Transparency, Algorithms and Credit Scoring.” Digital Culture & Society 9, no. 2 (2025): 141–60. https://doi.org/10.14361/dcs-2023-0208.
LibreCat | DOI
 
[6]
2024 | Journal Article | LibreCat-ID: 62033
Alvarez, Jose M., Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, et al. “Policy Advice and Best Practices on Bias and Fairness in AI.” Ethics and Information Technology 26, no. 2 (2024). https://doi.org/10.1007/s10676-024-09746-w.
LibreCat | DOI
 
[5]
2024 | Journal Article | LibreCat-ID: 62031
Fahimi, Miriam, Mayra Russo, Kristen M. Scott, Maria-Esther Vidal, Bettina Berendt, and Katharina Kinder-Kurlanda. “Articulation Work and Tinkering for Fairness in Machine Learning.” Proceedings of the ACM on Human-Computer Interaction 8, no. CSCW2 (2024): 1–23. https://doi.org/10.1145/3686973.
LibreCat | DOI
 
[4]
2024 | Book Chapter | LibreCat-ID: 62228
Fahimi, Miriam, Petter Falk, Jonathan W. Y. Gray, Juliane Jarke, Katharina Kinder-Kurlanda, Evan Light, Ellouise McGeachey, et al. “In/Visibilities in Data Studies: Methods, Tools, and Interventions.” In Dialogues in Data Power, 52–79. Bristol University Press, 2024.
LibreCat
 
[3]
2024 | Book Chapter | LibreCat-ID: 62230
Kinder-Kurlanda, Katharina, and Miriam Fahimi. “Making Algorithms Fair: Ethnographic Insights from Machine Learning Interventions.” In Algorithmic Regimes. Methods, Interactions, and Politics., edited by Juliane Jarke, Bianca Prietl, Simon Egbert, Yana Boeva, Hendrik Heuer, and Maike Arnold, 309–330. Amsterdam: Amsterdam University Press, 2024.
LibreCat
 
[2]
2023 | Conference Paper | LibreCat-ID: 62231
State, Laura, and Miriam Fahimi. “Careful Explanations: A Feminist Perspective on XAI.” In Proceedings of the 2nd European Workshop on Algorithmic Fairness. Winterthur, Switzerland: CEUR Workshop Proceedings, 2023.
LibreCat
 
[1]
2022 | Book (Editor) | LibreCat-ID: 62032
Fahimi, Miriam, Elmar Flatschart, and Wolfram Schaffar, eds. State and Statehood in the Global South. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-94000-3.
LibreCat | DOI
 

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Citation Style: Chicago

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