Wong Cheng Ngai
The field of Artificial Intelligence (AI) has been gaining increasing attention in the recent years. There has been widespread adoption of AI for use in almost all industries and for various purposes.
With the pervasive and widespread use of AI, there have been cases of AI hiccups or cases of AI bias reported in various applications. It has become inevitable that the spotlight is slowly shifting from how AI models can be applied to the need for Explainable & Responsible AI (XRAI).
The emphasis on XRAI is important in order to promote AI innovation and adoption, as well as to gain trust and confidence in the users of AI. Therefore, there is a need for further research, development and discussion in the AI community concerning the various aspects of XRAI. In the recent years, there is a rise in the creation of software tools and guidelines related to this area by the technology companies and regulators of various countries.
This course is intended for participants who are users of AI models or developers of AI models, for example, human resource recruiters using AI hiring algorithms, developers of AI facial recognition systems, marketing analysts using advertisement recommendation AI engines, etc.
This course is part of the Artificial Intelligence and Data Science series offered by NUS-ISS.