Regulating AI is the wrong goalpost –AI expert
A data and artificial intelligence (AI) expert believes that “regulating AI is the wrong goalpost,” arguing that the objective must be safety and equality, promoting trust in the technology. Adding that there are safety nets to mitigate the risks associated with it.
Dr. David Hardoon, UnionBank Senior Adviser for Data & Artificial Intelligence, recently shared his views on data science and AI at an EFMA Sustainability & Regulation Community Best Practice Forum.
“When thinking about operationalizing AI governance, it is imperative to have a broad appreciation of the risk that comes from your available historical data—the potential disadvantages, or errors, or issues, or elements that may result in lack of trust that may come from that,” Dr. Hardoon said.
He emphasized that the most important thing about operationalizing AI within an organization is trust. Dr. Hardoon likened this to how individuals trust their closest friends and family members.
Dr. Hardoon said that part of the ‘peeling’ process, especially of a new set of technology, is best to still have people in the loop.
“Not that the human may be any better, but we trust humans so far a bit more right now, until we get to that stage of realizing it’s good. Or perhaps in certain areas, we must simply accept that AI should never play a role, because we want to have the ability of continuous intervention in terms of outcome,” Dr. Hardoon concluded.
