mlsanityData to 7 Oct 2026

FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)

arXiv 2506.05095 ↗First posted 5 Jun 2025cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 27 references that are in the map. First posted on arXiv 5 Jun 2025.

Builds on

12 of 27 references.

References · 12

  1. 2021Trustworthy AI: A Computational Perspectivecited by 93
  2. 2020Investigating Bias and Fairness in Facial Expression Recognitioncited by 87
  3. 2021Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognitioncited by 19
  4. 2024RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Lossescited by 18
  5. 2023Uncertainty-based Fairness Measurescited by 15
  6. 2019Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networkscited by 14
  7. 2021Graph-based Facial Affect Analysis: A Reviewcited by 14
  8. 2025U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detectioncited by 12
  9. 2024Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coachingcited by 11
  10. 2022Uncertain Facial Expression Recognition via Multi-task Assisted Correctioncited by 10
  11. 2022Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognitioncited by 8
  12. 2025Machine Learning Fairness for Depression Detection using EEG Datacited by 7

Built on by

Not cited yet.