Educating software and AI stakeholders about algorithmic fairness, accountability, transparency and ethics V Bogina, A Hartman, T Kuflik, A Shulner-Tal International Journal of Artificial Intelligence in Education, 1-26, 2022 | 103 | 2022 |
Mitigating bias in algorithmic systems—a fish-eye view K Orphanou, J Otterbacher, S Kleanthous, K Batsuren, F Giunchiglia, ... ACM Computing Surveys 55 (5), 1-37, 2022 | 57 | 2022 |
Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system A Shulner-Tal, T Kuflik, D Kliger Ethics and Information Technology 24 (1), 2, 2022 | 55 | 2022 |
Enhancing fairness perception–Towards human-centred AI and personalized explanations understanding the factors influencing laypeople’s fairness perceptions of algorithmic decisions A Shulner-Tal, T Kuflik, D Kliger International Journal of Human–Computer Interaction 39 (7), 1455-1482, 2023 | 41 | 2023 |
Recent studies of xai-review ZF Hu, T Kuflik, IG Mocanu, S Najafian, A Shulner Tal Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021 | 20 | 2021 |
“End to End” Towards a framework for reducing biases and promoting transparency of algorithmic systems AS Tal, K Batsuren, V Bogina, F Giunchiglia, A Hartman, SK Loizou, ... 2019 14th International Workshop on Semantic and Social Media Adaptation and …, 2019 | 16 | 2019 |
Who made that decision and why? Users’ perceptions of human versus AI decision-making and the power of explainable-AI A Shulner-Tal, T Kuflik, D Kliger, A Mancini International Journal of Human–Computer Interaction, 1-18, 2024 | 5 | 2024 |
FairUMAP 2020: The 3rd workshop on fairness in user modeling, adaptation and personalization B Mobasher, S Kleanthous, M Ekstrand, B Berendt, J Otterbacher, ... Proceedings of the 28th ACM conference on user modeling, adaptation and …, 2020 | 5 | 2020 |
TExSS: Transparency and explanations in smart systems AM Smith-Renner, SK Loizou, J Dodge, C Dugan, MK Lee, BY Lim, ... Companion Proceedings of the 26th International Conference on Intelligent …, 2021 | 4 | 2021 |
Towards algorithmic transparency: A diversity perspective F Giunchiglia, J Otterbacher, S Kleanthous, K Batsuren, V Bogin, T Kuflik, ... arXiv preprint arXiv:2104.05658, 2021 | 4 | 2021 |
Mitigating bias in algorithmic systems: A fish-eye view of problems and solutions across domains K Orphanou, J Otterbacher, S Kleanthous, K Batsuren, F Giunchiglia, ... arXiv preprint arXiv:2103.16953, 2021 | 3 | 2021 |
Report on the CyCAT winter school on fairness, accountability, transparency and ethics (FATE) in AI S Kleanthous, J Otterbacher, J Bates, F Giunchiglia, F Hopfgartner, ... ACM SIGIR Forum 55 (1), 1-9, 2021 | 2 | 2021 |
Fairness Perceptions of AI Decision-making: Exploring the Effect of Explainable-AI A Shulner-Tal PQDT-Global, 2024 | | 2024 |
6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023) B Mobasher, S Kleanthous, J Otterbacher, R Burke, A Shulner Tal Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation …, 2023 | | 2023 |
5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022) S Kleanthous, B Mobasher, T Kuflik, B Berendt, R Burke, J Otterbacher, ... Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022 | | 2022 |
TExSS 22: Transparency and Explanations in Smart Systems T Kuflik, J Dodge, S Kleanthous Loizou, B Lim, C Negreanu, ... Companion Proceedings of the 27th International Conference on Intelligent …, 2022 | | 2022 |
Mitigating Bias in Algorithmic Systems—A Fish-eye View V BOGINA, AS TAL, A HARTMAN, T KUFLIK | | 2022 |
Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system D Kliger, T Kuflik, A Shulner-Tal | | 2022 |
FairUMAP 2021: The 4th Workshop on Fairness in User Modeling, Adaptation and Personalization B Mobasher, S Kleanthous, B Berendt, J Otterbacher, T Kuflik, AS Tal Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021 | | 2021 |
UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' Welcome B Mobasher, S Kleanthous, B Berendt, M Ekstrand, J Otterbacher, ... Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation …, 2020 | | 2020 |