AI must be ‘core and foundational’ advises McKinsey

Corporate leaders in AI are not treating it as a one-off spoke but core and foundational to everything they do, according to McKinsey.

In a recently published blog, Liz Brennan, McKinsey expert associate partner on its 10 Responsible AI Principles, said, “Organisations shouldn’t be building from scratch. The way I think of it is around ‘train tracks’ that organisations have built to handle, for instance, privacy, security, and basic data governance… they will have to load their AI risk controls onto these tracks and upskill their people to manage it.”

Since technologies are changing so fast, the risk controls themselves will have to be continually updated.

She added, “So vendors are bringing the best they have to market – with monitoring and feedback loops built in – knowing it’s going to be changing quickly. Companies are using agile methods, not just for quick triage, but for iterating their risk controls and responding as scope and features change. The risk controls have to keep up, as do the teams that apply them.”

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