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

TL;DR

This paper introduces the TrustFAA workshop, focusing on advancing trustworthiness in facial affect analysis through fairness, explainability, and safety, addressing challenges like biases and interpretability in Emotion AI systems.

Contribution

It presents the first workshop dedicated to exploring trustworthiness issues in facial affect analysis, fostering research on fairness, explainability, and safety in Emotion AI.

Findings

Highlights the importance of interpretability and bias mitigation in FAA

Encourages ethical considerations and dialogue in FAA research

Supports development of trustworthy facial affect analysis systems

Abstract

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.