To focus on making AI more understandable and interpretable through techniques on Explainable AI, Interpretable AI and human-in-the-loop learning.
To focus on aspects such as data privacy, security, data consent, data anonymization, adversarial robustness, performance guarantees, model monitoring and maintenance.
To focus on the social/societal aspects of AI models such as Fairness/Ethics, Legal/Policy, Future of Works/Jobs, Human Computer Interaction, Perception of AI.