[workshop at ICCV 2025] - last deadline extension
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Enzo Tartaglione
Jul 4, 2025, 8:29:42 AM7/4/25
to Machine Learning News
🔍🖥️ hashtagICCV2025 Workshop on Fairness and Model Debiasing Announcement🚀
We are thrilled to announce the second edition of our hashtagworkshop on hashtagFairness and ethics towards transparent hashtagAI: facing the chalLEnge through model hashtagDebiasing (FAILED), a satellite workshop event of hashtagICCV2025, in Honolulu, Hawaii, USA.
The hashtagFAILED workshop addresses the critical issue of hashtagbias in AI models, with a special focus on hashtagComputerVision.
It aims to convene experts and practitioners to explore strategies for rectifying biases and promoting fairness and transparency in AI systems.
By fostering interdisciplinary discussions and sharing innovative solutions, the workshop seeks to advance the development of hashtagunbiased and hashtagfair AI models.
🤝Join us in this collaborative endeavor to shape a future where AI serves as a force for hashtagequity and hashtaginclusivity.
Together, let's pave the way towards a more ethical and fair AI landscape!
📝📢 Call for papers:
We welcome the submissions of original and high-quality papers, including (but not limited) to the following topics:
• Ethics in Computer Vision/AI;
• Methods for model debiasing;
• Interpretability and Explainability in Computer Vision;
• Fairness and transparent Computer Vision/AI;
• Debiasing or fairness methods in social sciences;
• Fairness and bias in generative models;
• Fairness and bias in multimodal (foundation) models;
• Trustworthy Computer Vision/AI;
• Fairness and trust in biomedical image analysis;
• Theoretical aspects of debiasing and fairness;
• Bias evaluation and performance on relevant domains of application;
• Pruning for model debiasing;
• Brave new ideas for learning with biased data and fairness
📅👀 Important dates
• Paper submission deadline: June 26th, 2025
• Decision to Authors: July 11th, 2025
• Camera-ready papers due: July 31st, 2025
📅 Workshop Date: October 19th or 20th (TBD)
🕒 Starting Time: TBD
📍 Location: Honolulu Convention Center, Honolulu, Hawaii, USA,
🔗 For more details, visit our website: https://lnkd.in/e7kUSzZ6
📧 Contact Information: For any queries or assistance, feel free to reach out to us at failed-works...@googlegroups.com
The second edition of the hashtagFAILED workshop is organized by VITO PAOLO PASTORE (MaLGa - Machine Learning Genoa Center, Università degli Studi di Genova), Enzo Tartaglione (Télécom Paris), Irina Voiculescu (University of Oxford), Jaegul Choo (Korea Advanced Institute of Science and Technology), and Vittorio Murino (IIT, Università degli Studi di Verona).
We are thrilled to announce the second edition of our hashtagworkshop on hashtagFairness and ethics towards transparent hashtagAI: facing the chalLEnge through model hashtagDebiasing (FAILED), a satellite workshop event of hashtagICCV2025, in Honolulu, Hawaii, USA.
The hashtagFAILED workshop addresses the critical issue of hashtagbias in AI models, with a special focus on hashtagComputerVision.
It aims to convene experts and practitioners to explore strategies for rectifying biases and promoting fairness and transparency in AI systems.
By fostering interdisciplinary discussions and sharing innovative solutions, the workshop seeks to advance the development of hashtagunbiased and hashtagfair AI models.
🤝Join us in this collaborative endeavor to shape a future where AI serves as a force for hashtagequity and hashtaginclusivity.
Together, let's pave the way towards a more ethical and fair AI landscape!
📝📢 Call for papers:
We welcome the submissions of original and high-quality papers, including (but not limited) to the following topics:
• Ethics in Computer Vision/AI;
• Methods for model debiasing;
• Interpretability and Explainability in Computer Vision;
• Fairness and transparent Computer Vision/AI;
• Debiasing or fairness methods in social sciences;
• Fairness and bias in generative models;
• Fairness and bias in multimodal (foundation) models;
• Trustworthy Computer Vision/AI;
• Fairness and trust in biomedical image analysis;
• Theoretical aspects of debiasing and fairness;
• Bias evaluation and performance on relevant domains of application;
• Pruning for model debiasing;
• Brave new ideas for learning with biased data and fairness
📅👀 Important dates
• Paper submission deadline: June 26th, 2025
• Decision to Authors: July 11th, 2025
• Camera-ready papers due: July 31st, 2025
📅 Workshop Date: October 19th or 20th (TBD)
🕒 Starting Time: TBD
📍 Location: Honolulu Convention Center, Honolulu, Hawaii, USA,
🔗 For more details, visit our website: https://lnkd.in/e7kUSzZ6
📧 Contact Information: For any queries or assistance, feel free to reach out to us at failed-works...@googlegroups.com
The second edition of the hashtagFAILED workshop is organized by VITO PAOLO PASTORE (MaLGa - Machine Learning Genoa Center, Università degli Studi di Genova), Enzo Tartaglione (Télécom Paris), Irina Voiculescu (University of Oxford), Jaegul Choo (Korea Advanced Institute of Science and Technology), and Vittorio Murino (IIT, Università degli Studi di Verona).
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