Agathe Balayn
Orcid: 0000-0003-2725-5305
According to our database1,
Agathe Balayn
authored at least 22 papers
between 2016 and 2023.
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Bibliography
2023
PhD thesis, 2023
Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities.
CoRR, 2023
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models?
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
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 management and analytics systems.
VLDB J., 2021
Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature.
ACM Trans. Soc. Comput., 2021
Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision.
CoRR, 2021
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis.
Proceedings of the WWW '21: The Web Conference 2021, 2021
2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity.
CoRR, 2019
2018
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018
Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis (short paper).
Proceedings of the 1st Workshop on Subjectivity, 2018
2016
Proceedings of the 2016 IEEE International Conference on Simulation, 2016