聚焦情绪识别可信性，探讨公平、可解释与安全问题。
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)
- 汇聚多任务面部情绪分析研究，关注可解释性与不确定性
- 涵盖微表情、动作单元等应用，覆盖疼痛与抑郁检测等场景
- 适合关注伦理与可信人工智能的科研人员参与
随着基于情感AI的面部情绪分析（FAA）工具日益普及和部署，这些系统可信性的担忧愈发突出。本次首届研讨会‘迈向可信面部情绪分析：推进公平性、可解释性与安全性洞察（TrustFAA）’旨在汇聚致力于解决各类面部情绪分析任务中可信性挑战的研究者，包括宏观/微观表情识别、面部动作单元检测、疼痛与抑郁检测，以及人机交互与协作等应用。契合FG2025对伦理的关注，本届会议要求提交论文附带伦理影响声明，本研讨会支持该目标，鼓励围绕可信FAA开展研究、讨论与对话。
原文摘要 · Abstract (English)
With the increasing prevalence and deployment of Emotion AI-powered facial affect analysis (FAA) tools, concerns about the trustworthiness of these systems have become more prominent. This first workshop on "Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)" aims to bring together researchers who are investigating different challenges in relation to trustworthiness-such as interpretability, uncertainty, biases, and privacy-across various facial affect analysis tasks, including macro/ micro-expression recognition, facial action unit detection, other corresponding applications such as pain and depression detection, as well as human-robot interaction and collaboration. In alignment with FG2025's emphasis on ethics, as demonstrated by the inclusion of an Ethical Impact Statement requirement for this year's submissions, this workshop supports FG2025's efforts by encouraging research, discussion and dialogue on trustworthy FAA.
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