Emotion Alignment

Emotion alignment in artificial intelligence focuses on aligning the emotional expressions and understanding of AI systems with those of humans. Current research emphasizes developing methods to improve this alignment across various modalities (text, speech, images, video), often employing techniques like contrastive learning, multitask learning, and neural network architectures tailored for specific tasks (e.g., dynamic facial expression recognition). This research is crucial for enhancing human-computer interaction, particularly in applications like mental health support and building more empathetic and trustworthy AI systems, and for improving the performance of AI in tasks involving subjective human judgments.