Adaptive handling assistance for industrial lightweight robots in simulation. - Agathe Balayn; Jeffrey Frederic Queißer; Michael Wojtynek; Sebastian Wrede 001 (SIMPAR, 2016)

Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis (short paper). - Agathe Balayn; Panagiotis Mavridis; Alessandro Bozzon; Benjamin Timmermans; Zoltán Szlávik (SAD/CrowdBias@HCOMP, 2018)

Data-driven development of Virtual Sign Language Communication Agents. - Agathe Balayn; Heike Brock; Kazuhiro Nakadai (RO-MAN, 2018)

Unfairness towards subjective opinions in Machine Learning. - Agathe Balayn; Alessandro Bozzon; Zoltán Szlávik (CoRR, 2019)

Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity. - Agathe Balayn; Alessandro Bozzon (CoRR, 2019)

What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. - Agathe Balayn; Panagiotis Soilis; Christoph Lofi; Jie Yang 028; Alessandro Bozzon (WWW, 2021)

Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision. - Agathe Balayn; Bogdan Kulynych; Seda F. Gürses (CoRR, 2021)

Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature. - Agathe Balayn; Jie Yang 028; Zoltán Szlávik; Alessandro Bozzon (ACM Trans. Soc. Comput., 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. - Agathe Balayn; Christoph Lofi; Geert-Jan Houben (VLDB J., 2021)

How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models? - Agathe Balayn; Natasa Rikalo; Christoph Lofi; Jie Yang 028; Alessandro Bozzon (CHI, 2022)

Towards a multi-stakeholder value-based assessment framework for algorithmic systems. - Mireia Yurrita; Dave Murray-Rust; Agathe Balayn; Alessandro Bozzon (FAccT, 2022)

It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. - Gaole He; Agathe Balayn; Stefan Buijsman; Jie Yang 028; Ujwal Gadiraju (HCOMP, 2022)

Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. - Agathe Balayn; Gaole He; Andrea Hu; Jie Yang 028; Ujwal Gadiraju (WWW, 2022)

"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. - Agathe Balayn; Mireia Yurrita; Jie Yang 028; Ujwal Gadiraju (AIES, 2023)

Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. - Agathe Balayn; Natasa Rikalo; Jie Yang 028; Alessandro Bozzon (CHI, 2023)

Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability. - Mireia Yurrita; Tim Draws; Agathe Balayn; Dave Murray-Rust; Nava Tintarev; Alessandro Bozzon (CHI, 2023)

Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. - Luca Nannini; Agathe Balayn; Adam Leon Smith (FAccT, 2023)

Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. - Shahin Sharifi Noorian; Sihang Qiu; Burcu Sayin; Agathe Balayn; Ujwal Gadiraju; Jie Yang 028; Alessandro Bozzon (IUI, 2023)

Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. - Nirmal Roy; Agathe Balayn; David Maxwell 001; Claudia Hauff (SIGIR, 2023)

Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities. - Mireia Yurrita; Agathe Balayn; Ujwal Gadiraju (CoRR, 2023)

On developers' practices for hazard diagnosis in machine learning systems. - Agathe Balayn (2023)

"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. - Lorenzo Corti; Rembrandt Oltmans; Jiwon Jung; Agathe Balayn; Marlies Wijsenbeek; Jie Yang 028 (CHI, 2024)

From Stem to Stern: Contestability Along AI Value Chains. - Agathe Balayn; Yulu Pi; David Gray Widder; Kars Alfrink; Mireia Yurrita; Sohini Upadhyay; Naveena Karusala; Henrietta Lyons; Cagatay Turkay; Christelle Tessono; Blair Attard-Frost; Ujwal Gadiraju (CSCW Companion, 2024)

An Empirical Exploration of Trust Dynamics in LLM Supply Chains. - Agathe Balayn; Mireia Yurrita; Fanny Rancourt; Fabio Casati; Ujwal Gadiraju (CoRR, 2024)

Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain. - Agathe Balayn; Lorenzo Corti; Fanny Rancourt; Fabio Casati; Ujwal Gadiraju (CoRR, 2024)

Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making? - Gaole He; Agathe Balayn; Stefan Buijsman; Jie Yang 028; Ujwal Gadiraju (J. Artif. Intell. Res., 2024)

Unpacking Trust Dynamics in the LLM Supply Chain: An Empirical Exploration to Foster Trustworthy LLM Production & Use. - Agathe Balayn; Mireia Yurrita; Fanny Rancourt; Fabio Casati; Ujwal Gadiraju (CHI, 2025)

Towards Effective Human Intervention in Algorithmic Decision-Making: Understanding the Effect of Decision-Makers' Configuration on Decision-Subjects' Fairness Perceptions. - Mireia Yurrita; Himanshu Verma 001; Agathe Balayn; Ujwal Gadiraju; Sylvia C. Pont; Alessandro Bozzon (CHI, 2025)

Harmful Impacts of ML: Empirically Triangulating the Concerns and Practices of Developers. - Agathe Balayn; Ujwal Gadiraju (EWAF, 2025)

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor. - Alexandra Olteanu; Su Lin Blodgett; Agathe Balayn; Angelina Wang; Fernando Diaz 001; Flávio du Pin Calmon; Margaret Mitchell; Michael D. Ekstrand; Reuben Binns; Solon Barocas (CoRR, 2025)

A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. - Andrea Tocchetti; Lorenzo Corti; Agathe Balayn; Mireia Yurrita; Philip Lippmann; Marco Brambilla 001; Jie Yang 028 (ACM Comput. Surv., 2025)