Risultati della ricerca - Stumpf, Simone

An Explanatory Model Steering System for Collaboration between Domain Experts and AI di Bhattacharya, Aditya, Stumpf, Simone, Verbert, Katrien

Testo

Representation Debiasing of Generated Data Involving Domain Experts di Bhattacharya, Aditya, Stumpf, Simone, Verbert, Katrien

Testo

Importance of User Control in Data-Centric Steering for Healthcare Experts di Bhattacharya, Aditya, Stumpf, Simone, Verbert, Katrien

Testo

Generative Confidants: How do People Experience Trust in Emotional Support from Generative AI? di Volpato, Riccardo, Stumpf, Simone, DeBruine, Lisa

Testo

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems di Bhattacharya, Aditya, Stumpf, Simone, De Croon, Robin, Verbert, Katrien

Testo

Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform di Bhattacharya, Aditya, Stumpf, Simone, Gosak, Lucija, Stiglic, Gregor, Verbert, Katrien

Testo

EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations di Bhattacharya, Aditya, Stumpf, Simone, Gosak, Lucija, Stiglic, Gregor, Verbert, Katrien

Testo

User Characteristics in Explainable AI: The Rabbit Hole of Personalization? di Nimmo, Robert, Constantinides, Marios, Zhou, Ke, Quercia, Daniele, Stumpf, Simone

Testo

EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders di Luo, Lin, Nakao, Yuri, Chollet, Mathieu, Inakoshi, Hiroya, Stumpf, Simone

Testo

"I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment di Luo, Lin, Nakao, Yuri, Chollet, Mathieu, Inakoshi, Hiroya, Stumpf, Simone

Testo

Empowering Affected Individuals to Shape AI Fairness Assessments: Processes, Criteria, and Tools di Luo, Lin, Ghanta, Satwik, Nakao, Yuri, Chollet, Mathieu, Stumpf, Simone

Testo

Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI di Taka, Evdoxia, Nakao, Yuri, Sonoda, Ryosuke, Yokota, Takuya, Luo, Lin, Stumpf, Simone

Testo

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence di 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

Testo

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions di 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

Testo