Controlling AI functions
Hickin articulates a three-layered approach to controlling AI functions, beginning with the developmental phase. Here, the emphasis lies on safe training data, legally acquired information, and the security of model data. The next layer involves deploying AI into applications or services, focusing on minimising risks and establishing trust between deployers and users. The final layer resides with end-users, where intelligent UI/UX designs and application services guide users in effectively and safely interacting with AI.

Addressing the reliability of AI outputs, Hickin asserts its dependence on user input. If users pose well-formulated questions, they are more likely to receive reliable answers. Embedded and retrieval augmentation tools can assist the AI model in providing a more grounded response to the user. It is often more reliable and something the user can validate outside of the AI because it will give a citation or source for its output.
Malaysia's AI opportunity
As to Malaysia's preparedness for the AI opportunity, Hickin notes that Malaysia, with its highly digitally aware workforce, a substantial working-age population, and a keen interest in integrating AI into business practices, holds the potential to embrace AI responsibly.
“It would be inappropriate and unfair for me to comment on a nation’s overall preparedness. I would say that Malaysia is no less prepared than any other country.

“Malaysia has in front of it the opportunity to take, embrace and enhance the lives of its citizens through the responsible adoption of AI,” he underscores.