Agathe Balayn - RankMe

39 papers A* 10A 1B 2C 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Framework to Characterize Reporting on Generative AI Use. CHI Agathe Balayn, Varun Nagaraj Rao, Su Lin Blodgett, Aylin Caliskan, Solon Barocas
2026	—	`conf`	How Could AI Supply Chain Research Shape HCI Inquiries And Vice-Versa? CHI Extended Abstracts Inha Cha, David Gray Widder, Blair Attard-Frost, Jatinder Singh, Agathe Balayn
2025	J	`jnl`	A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. ACM Comput. Surv. Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang
2025	—	`conf`	Harmful Impacts of ML: Empirically Triangulating the Concerns and Practices of Developers. EWAF Agathe Balayn, Ujwal Gadiraju
2025	J	`jnl`	Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability. Proc. ACM Hum. Comput. Interact. Mireia Yurrita, Himanshu Verma, Agathe Balayn, Kars Alfrink, Ujwal Gadiraju, Alessandro Bozzon
2025	J	`jnl`	Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor. CoRR Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang, Fernando Diaz, Flávio du Pin Calmon, Margaret Mitchell, Michael D. Ekstrand, Reuben Binns, Solon Barocas
2025	A*	`conf`	Towards Effective Human Intervention in Algorithmic Decision-Making: Understanding the Effect of Decision-Makers' Configuration on Decision-Subjects' Fairness Perceptions. CHI Mireia Yurrita, Himanshu Verma, Agathe Balayn, Ujwal Gadiraju, Sylvia C. Pont, Alessandro Bozzon
2025	A*	`conf`	Unpacking Trust Dynamics in the LLM Supply Chain: An Empirical Exploration to Foster Trustworthy LLM Production & Use. CHI Agathe Balayn, Mireia Yurrita, Fanny Rancourt, Fabio Casati, Ujwal Gadiraju
2024	A*	`conf`	"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. CHI Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies Wijsenbeek, Jie Yang
2024	J	`jnl`	An Empirical Exploration of Trust Dynamics in LLM Supply Chains. CoRR Agathe Balayn, Mireia Yurrita, Fanny Rancourt, Fabio Casati, Ujwal Gadiraju
2024	—	`conf`	From Stem to Stern: Contestability Along AI Value Chains. CSCW Companion 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
2024	J	`jnl`	From Stem to Stern: Contestability Along AI Value Chains. CoRR 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
2024	J	`jnl`	Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making? J. Artif. Intell. Res. Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju
2024	J	`jnl`	Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain. CoRR Agathe Balayn, Lorenzo Corti, Fanny Rancourt, Fabio Casati, Ujwal Gadiraju
2023	C	`conf`	"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. AIES Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju
2023	A*	`conf`	Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability. CHI Mireia Yurrita, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, Alessandro Bozzon
2023	—	`conf`	Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. FAccT Luca Nannini, Agathe Balayn, Adam Leon Smith
2023	J	`jnl`	Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. CoRR Luca Nannini, Agathe Balayn, Adam Leon Smith
2023	A*	`conf`	Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. CHI Agathe Balayn, Natasa Rikalo, Jie Yang, Alessandro Bozzon
2023	J	`jnl`	Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities. CoRR Mireia Yurrita, Agathe Balayn, Ujwal Gadiraju
2023	A*	`conf`	Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. SIGIR Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff
2023	J	`jnl`	Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. CoRR Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff
2023	—	`—`	On developers' practices for hazard diagnosis in machine learning systems. Agathe Balayn
2023	A	`conf`	Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. IUI Shahin Sharifi Noorian, Sihang Qiu, Burcu Sayin, Agathe Balayn, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
2022	J	`jnl`	A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. CoRR Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang
2022	A*	`conf`	How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models? CHI Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang, Alessandro Bozzon
2022	B	`conf`	It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. HCOMP Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju
2022	A*	`conf`	Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. WWW Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju
2022	—	`conf`	Towards a multi-stakeholder value-based assessment framework for algorithmic systems. FAccT Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, Alessandro Bozzon
2022	J	`jnl`	Towards a multi-stakeholder value-based assessment framework for algorithmic systems. CoRR Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, Alessandro Bozzon
2021	J	`jnl`	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. Agathe Balayn, Jie Yang, Zoltán Szlávik, Alessandro Bozzon
2021	J	`jnl`	Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision. CoRR Agathe Balayn, Bogdan Kulynych, Seda F. Gürses
2021	J	`jnl`	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. Agathe Balayn, Christoph Lofi, Geert-Jan Houben
2021	A*	`conf`	What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. WWW Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, Alessandro Bozzon
2019	J	`jnl`	Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity. CoRR Agathe Balayn, Alessandro Bozzon
2019	J	`jnl`	Unfairness towards subjective opinions in Machine Learning. CoRR Agathe Balayn, Alessandro Bozzon, Zoltán Szlávik
2018	B	`conf`	Data-driven development of Virtual Sign Language Communication Agents. RO-MAN Agathe Balayn, Heike Brock, Kazuhiro Nakadai
2018	—	`conf`	Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis (short paper). SAD/CrowdBias@HCOMP Agathe Balayn, Panagiotis Mavridis, Alessandro Bozzon, Benjamin Timmermans, Zoltán Szlávik
2016	—	`conf`	Adaptive handling assistance for industrial lightweight robots in simulation. SIMPAR Agathe Balayn, Jeffrey Frederic Queißer, Michael Wojtynek, Sebastian Wrede