Explanation capability is crucial to ensure responsible and trustworthy Artificial Intelligence (AI). The need for human-centric explanation is critical to increasing the adoption of AI systems. In this research, we will explore various aspects of Explainable AI (XAI) to ensure that intelligent systems and other computer systems possess the required level of explanation-awareness to be trusted by prospective adopters. The key focus areas include:
XAI in specific application domains
Development of Explainable Decision Support Systems
Machine learning Interpretability
Semantic-based Explainable AI
Participation:
Prospective Researchers: Bachelor honours, master's, doctoral students, postdoctoral fellows, research collaborators.
Skill Requirements: Expertise in programming (Python/Java/C#/JavaScript/web development), software development, good communication and writing skills.
For more information on XAIS research, contact me via my email: wande.daramolaj@up.ac.za