Agathe Balayn
Agathe Balayn
Postdoctoral researcher, Delft University of Technology
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Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data …
A Balayn, C Lofi, GJ Houben
The VLDB Journal 30 (5), 739-768, 2021
Beyond Debiasing: Regulating AI and its inequalities
A Balayn, S Gürses
EDRi report, 2021
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis
A Balayn, P Soilis, C Lofi, J Yang, A Bozzon
Proceedings of the Web Conference 2021, 1937-1948, 2021
🏆 Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability
M Yurrita, T Draws, A Balayn, D Murray-Rust, N Tintarev, A Bozzon
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
M Yurrita, D Murray-Rust, A Balayn, A Bozzon
2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT'22), 2022
Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature
A Balayn, J Yang, Z Szlavik, A Bozzon
ACM Transactions on Social Computing (TSC) 4 (3), 1-56, 2021
How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models?
A Balayn, N Rikalo, C Lofi, J Yang, A Bozzon
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
L Nannini, A Balayn, AL Smith
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
🏆 It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge
G He, A Balayn, S Buijsman, J Yang, U Gadiraju
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10 …, 2022
🏅 Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game
A Balayn, G He, A Hu, J Yang, U Gadiraju
Proceedings of the ACM Web Conference 2022, 1709-1719, 2022
🏆 Fairness Toolkits, A Checkbox Culture? On the Factors that Fragment Developer Practices in Handling Algorithmic Harms
A Balayn, M Yurrita, J Yang, U Gadiraju
Conference on AI, Ethics, and Society (AIES), 2023
Data-driven development of Virtual Sign Language Communication Agents
A Balayn, H Brock, K Nakadai
2018 27th IEEE International Symposium on Robot and Human Interactive …, 2018
AI robustness: a human-centered perspective on technological challenges and opportunities
A Tocchetti, L Corti, A Balayn, M Yurrita, P Lippmann, M Brambilla, J Yang
ACM Computing Surveys, 2022
Characterising and mitigating aggregation-bias in crowdsourced toxicity annotations
A Balayn, P Mavridis, A Bozzon, B Timmermans, Z Szlávik
1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing …, 2018
Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality
SS Noorian, S Qiu, B Sayin, A Balayn, U Gadiraju, J Yang, A Bozzon
IUI '23: Proceedings of the 28th International Conference on Intelligent …, 2023
Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities
M Yurrita, A Balayn, U Gadiraju
HCXAI workshop (CHI'23), 2023
Adaptive handling assistance for industrial lightweight robots in simulation
A Balayn, JF Queißer, M Wojtynek, S Wrede
2016 IEEE International Conference on Simulation, Modeling, and Programming …, 2016
Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs
A Balayn, N Rikalo, J Yang, A Bozzon
CHI '23: CHI Conference on Human Factors in Computing Systems, 2023
Exploring Data Pipelines through the Process Lens: a Reference Model for Computer Vision
A Balayn, B Kulynych, S Guerses
arXiv preprint arXiv:2107.01824, 2021
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity
A Balayn, A Bozzon
arXiv preprint arXiv:1911.02471, 2019
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