Risultati della ricerca - Stumpf, Simone
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An Explanatory Model Steering System for Collaboration between Domain Experts and AI Autoría: Bhattacharya, Aditya, Stumpf, Simone, Verbert, Katrien
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Representation Debiasing of Generated Data Involving Domain Experts Autoría: Bhattacharya, Aditya, Stumpf, Simone, Verbert, Katrien
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Importance of User Control in Data-Centric Steering for Healthcare Experts Autoría: Bhattacharya, Aditya, Stumpf, Simone, Verbert, Katrien
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Generative Confidants: How do People Experience Trust in Emotional Support from Generative AI? Autoría: Volpato, Riccardo, Stumpf, Simone, DeBruine, Lisa
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems Autoría: Bhattacharya, Aditya, Stumpf, Simone, De Croon, Robin, Verbert, Katrien
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform Autoría: Bhattacharya, Aditya, Stumpf, Simone, Gosak, Lucija, Stiglic, Gregor, Verbert, Katrien
Pubblicazione 2023Fuente: arXivTipo de material: PreprintAcceso al recurso -
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EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations Autoría: Bhattacharya, Aditya, Stumpf, Simone, Gosak, Lucija, Stiglic, Gregor, Verbert, Katrien
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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User Characteristics in Explainable AI: The Rabbit Hole of Personalization? Autoría: Nimmo, Robert, Constantinides, Marios, Zhou, Ke, Quercia, Daniele, Stumpf, Simone
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Autoría: Luo, Lin, Nakao, Yuri, Chollet, Mathieu, Inakoshi, Hiroya, Stumpf, Simone
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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"I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment Autoría: Luo, Lin, Nakao, Yuri, Chollet, Mathieu, Inakoshi, Hiroya, Stumpf, Simone
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Empowering Affected Individuals to Shape AI Fairness Assessments: Processes, Criteria, and Tools Autoría: Luo, Lin, Ghanta, Satwik, Nakao, Yuri, Chollet, Mathieu, Stumpf, Simone
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI Autoría: Taka, Evdoxia, Nakao, Yuri, Sonoda, Ryosuke, Yokota, Takuya, Luo, Lin, Stumpf, Simone
Pubblicazione 2023Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence Autoría: Constantinides, Marios, Tahaei, Mohammad, Quercia, Daniele, Stumpf, Simone, Madaio, Michael, Kennedy, Sean, Wilcox, Lauren, Vitak, Jessica, Cramer, Henriette, Bogucka, Edyta, Baeza-Yates, Ricardo, Luger, Ewa, Holbrook, Jess, Muller, Michael, Blumenfeld, Ilana Golbin, Pistilli, Giada
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
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Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Autoría: Longo, Luca, Brcic, Mario, Cabitza, Federico, Choi, Jaesik, Confalonieri, Roberto, Del Ser, Javier, Guidotti, Riccardo, Hayashi, Yoichi, Herrera, Francisco, Holzinger, Andreas, Jiang, Richard, Khosravi, Hassan, Lecue, Freddy, Malgieri, Gianclaudio, Páez, Andrés, Samek, Wojciech, Schneider, Johannes, Speith, Timo, Stumpf, Simone
Pubblicazione 2023Fuente: arXivTipo de material: PreprintAcceso al recurso