Speakers:
Sumeet Mahajan, Partner, AI & Data | Vikrant Rai, Associate Partner, Internal Audit & SOX | Sanjiv Raman, Partner, Anaplan Services
SUMEET MAHAJAN: I might think of talent or data as something that I will start investing in if I start to see early promise from XYZ use case. But I think risk and regulation is one of those zero and one factors that you cannot have a gray area within.
So when you think about using AI, whether it’s build or buy, to target a business outcome, risk and regulation and the impact of all of those in my use case, in my business, has to be embedded by design from the get-go. It cannot be post-PoC, it cannot be post-pilot, it cannot be post-production. It needs to be Day Zero design.
VIKRANT RAI: I think in the last year or so, we’ve seen over 33 states come forward with at least 100-plus measures in terms of requiring states to look at things more closely when it comes to AI adoption. A good method would be to kind of learn from the past, which is to come up with a framework or a methodology that is built to mature and sustain over time.
We can’t address regulations one at a time. That’s not the most efficient way to address it. But if you apply the framework of the past and build a model that allows better adoption, you’re set up for success.
SANJIV RAMAN: It has to start with allowing for the individuals within the organization to be creative and democratizing AI development within structure and guardrails that are developed organization-wide. And then enabling an AI governance model internally that is evolving and is agile so they can keep pace with the evolving regulatory landscape as well.