Emotion AI and Employee Experience
Abstract
The integration of Emotion AI (Affective Computing) into employee experience (EX) management represents a paradigm shift towards human-centric, data-driven leadership. This chapter explores how cloud-native tools enable organizations to move beyond lagging indicators like annual surveys by analyzing emotional data from digital communication platforms in real-time. It details use cases across the employee lifecycle, from enhancing onboarding to predicting burnout and fostering inclusive teams. However, this transformative potential is accompanied by significant implications. The chapter provides a critical examination of the ethical, social, and managerial challenges, including privacy, algorithmic bias, and the risk of emotional surveillance. It concludes that the responsible adoption of Emotion AI, governed by strong ethical frameworks, is crucial for creating empathetic, supportive, and productive workplaces.
Fields of Study & Subjects
AI and HR Technologies
Emotion and Mood Recognition
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Pages
- 367–384
- Publication date
- 13 February 2026
- Language
- EN
- Document type
- Book chapter