Emotion Attribution

Emotion attribution research focuses on understanding how humans and artificial intelligence (AI) models identify and interpret emotions in various contexts, including text, images, and speech. Current research emphasizes the biases and stereotypes reflected in AI models' emotion attributions, particularly concerning gender and religious affiliation, and investigates how these biases can be mitigated through improved model architectures and training data. This work is crucial for developing more equitable and reliable AI systems across diverse applications, ranging from mental health support to content moderation and improving human-computer interaction. Furthermore, the study of emotion attribution in AI provides insights into the complex interplay between language, culture, and emotional expression.