Regaining Control of AI Governance

Andy Jordan is President of Roffensian Consulting S.A., a Roatan, Honduras-based management consulting firm with a comprehensive project management practice. Andy always appreciates feedback and discussion on the issues raised in his articles and can be reached at [email protected]. Andy's new book Risk Management for Project Driven Organizations is now available.

  Artificial Intelligence  

For as long as there have been discussions around artificial intelligence, there have been discussions around the importance of governance in AI. That is, improving ways to ensure that the technology can be leveraged without exposing the organization to excessive risk, compliance/regulatory breaches, data leaks, and so on. I recently had a conversation with a technology executive who made the argument that it’s no longer possible to ensure a strong governance model is in place.

It's easy to dismiss that as a negative perspective or simple fearmongering. But she made a compelling argument, one that’s a little bit scary.

Which AI platforms do you use?
The premise of her argument is that most organizations don’t have a complete picture of where AI is in their organizations, nor of which engines or platforms are driving that capability—and therefore can’t govern them appropriately.

That lack of visibility is because so many software providers are implementing AI into existing applications, often without too much transparency. And with many organizations operating a software as a service (SaaS) model, they often get the version upgrades to these AI-enabled releases without actively being aware of what is happening.

Add into that the ease with which public tools can be accessed—and the proliferation of such tools—and it …

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