Human-Centered Artificial Intelligence

<p>PART I: Explainable AI<br>1. Are AI models Explainable, Interpretable, and Understandable?<br>2. Explanation Using Interpretable Models<br>3. Explanation Using Model-Agnostic Methods<br>4. Explanation Using Examples<br>5. Explanation of Ensemble Models<br>6. Explanation of Deep Learning Models</p> <p>PART II: User-Centered AI Design and Development Process<br>7. User-centered explanation interfaces for effective communication between users and AI-based systems<br>8. Mind perception of human-centered AI: Effects of unfavorable social conditions on user experience of AI<br>9. Designing user interfaces for AI-based decision support systems</p> <p>PART III: Applications in Human-AI Interaction<br>11. Review on recent AI/ML studies about manufacturing systems<br>12. AI in BCI<br>13. AI in Human-Robot Interaction<br>14. AI in Healthcare<br>15. AI in Decision Making<br>16. TBD</p> <p>PART IV: Ethics, Privacy and Policy in Human-AI Interaction<br>17. Ethics of AI in academic and public discourse<br>18. Designing explainable artificial intelligence from policy perspectives<br>19. AI governance<br>20. TBD</p>