Starting with a broad overview of what IT is doing about AI, together with alternatives and challenges distinctive to the corporate, is one of the best ways to introduce the subject — and it gives a possibility to segue extra granularly into how AI might help, what it’s, and the way it works.

Efficient training on AI

One other guideline for briefing the board on AI is to goal to coach board members to the purpose the place they’ll comfortably speak about AI with extremely expert enterprise associates of their day-to-day enterprise roles.

It’s necessary for board members to really feel they’ve enough command of the subject in order that, in these conversations, they’ll ask questions and observe threads related to the enterprise. Furthermore, having a foundational understanding of AI and what it does additionally assists them in creating confidence within the know-how that may make board approvals for AI tasks simpler down the road.

For those who’re the CIO and also you’re introducing the subject of AI in a boardroom presentation, your main purpose must be that every board member leaves the room with a primary understanding of AI, what AI does, and the way it might help the corporate — and at a degree the place they’ll conduct additional productive discussions on the subject with colleagues and firm leaders.

Spotlight advantages and dangers

As a result of firm boards are tasked with overseeing company compliance and social duty in addition to reviewing revenues, bills, and operational and monetary well being, CIOs should proceed to coach board members about each AI advantages and AI dangers. Doing so additionally helps set board expectations for AI initiatives as a result of the board will perceive upfront that implementing AI isn’t just a technical enterprise; it entails compliance, policy-making, and danger administration as effectively.

For instance, what if an organization’s AI is biased, or if the info the corporate is utilizing is flawed, and the corporate makes a defective strategic determination primarily based on its output? How do you forestall that? What about potential privateness points that may come up with prospects? How do you mitigate that, and what privateness guardrails can you set in place in order that it by no means occurs? What about your AI workforce? Is it sufficiently expert and numerous sufficient to guarantee that the AI algorithms it develops are inclusive? And what about your workers? Will the introduction of AI trigger employee layoffs or create dangers of dropping a few of your most dear workers?