Beyond AI - Our Devices with Emotional Intelligence

Overview

Explore the future of emotionally intelligent devices and their potential impact on technology and society. Learn about advancements in AI that enable machines to understand and respond to human emotions.

Syllabus

• Introduction to Emotional Intelligence in AI
Definition and importance of emotional intelligence
Overview of current applications and future potential
• Foundations of Emotion Recognition Technologies
The science of emotions and how they are recognized
Introduction to affective computing
Key technologies: facial recognition, voice analysis, and physiological monitoring
• Machine Learning Techniques in Emotion AI
Supervised and unsupervised learning for emotion detection
Sentiment analysis models
Natural Language Processing (NLP) for understanding emotions
• Designing Emotionally Aware Devices
Integrating emotion AI into devices
User experience and interface design considerations
Real-world examples and case studies
• Ethical Considerations and Social Impacts
Privacy and data security issues in emotion AI
Bias and fairness in emotion recognition
Societal implications and ethical dilemmas
• Future Trends and Innovations
Emerging technologies in emotional intelligence
Potential future applications in health, education, and entertainment
Discussion on the human-AI emotional relationship
• Practical Skills Workshop
Hands-on session with emotion detection tools
Developing simple emotion-aware applications
Analyzing and interpreting emotion data
• Conclusion and Course Reflection
Summary of key insights
Discussion on the role of emotional intelligence in the future of AI
Final project presentations and peer feedback

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Subjects

Conference Talks