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What ‘AI Governance’ Means Inside ITX for Financial Services

A Risk Management Approach to Responsible AI Adoption

Artificial Intelligence is here to stay. But that doesn’t mean we should throw up our hands and let AI run roughshod over otherwise sound product development operations, right? The stakes are too high, and much of the technology’s potential (for good and for ill) remains unknown. 

 Since our founding nearly 3 decades ago, ITX has been committed to helping clients manage risk. In that time, we’ve learned that diving headlong into any new technology – let alone one as potentially disruptive as AI – without careful exploration invites all sorts of risks: financial, reputational, ethical, and legal. 

 We documented our approach to AI integration in a position paper, ITX’s Perspective on AI and Our Approach to Adoption. It reflects a clear statement of our current thinking – as AI evolves, so too will our assessment – complete with practical governance framework and set of rules that guide our behavior. This blog describes that framework and explains what AI governance means inside ITX. 

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Managing the Shift to Autonomous AI in Financial Services

What enterprise leaders need to know before deploying systems that act on their own 

There is a specific moment in every autonomous AI deployment where the governance conversation shifts. It happens when the system does something correct that nobody anticipated. Not a failure. Not a hallucination. A good decision that was not in the original design. That is the moment most organizations realize their oversight model was built for a different kind of technology. Read on to find out what to do about it.

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