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How should risk registers evolve to capture AI-specific risks like bias, hallucinations, or model drift?

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Lissette Indhira Pimentel Sosa
Community Champion
Program Manager| HARPER SRL Santo Domingo / Distrito Nacional, Dominican Republic

Risk frameworks in most organizations are designed around predictable categories, budget, schedule, resources, and compliance. But AI introduces a new class of risks that are harder to pin down: data bias, inaccurate outputs (“hallucinations”), and model degradation over time. These risks are subtle but can have major downstream impacts. If we don’t adapt our risk practices, are we leaving blind spots in our registers that could undermine entire projects?

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Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
First of all, you are writing about generative AI, not about AI. Second, all you stated, if you use generative AI, must be covered by Responsible Ai component.
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Kiron Bondale Retired | Mentor| Retired Welland, Ontario, Canada
Lissette -

This is the case with the use of any innovative technology or solution - new risks get introduced, some existing ones change and others disappear. This is why it is important to involve appropriate subject matter experts in activities such as risk identification and analysis and to update organizational process assets such as risk checklists to incorporate what's new.

Kiron
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Lissette Indhira Pimentel Sosa
Community Champion
Program Manager| HARPER SRL Santo Domingo / Distrito Nacional, Dominican Republic

Thanks, Sergio and Kiron, really helpful perspectives.

Sergio, you’re right: I should have been more precise and call it generative AI specifically. The Responsible AI component is a great reminder, it’s not only about identifying risks, but also ensuring accountability, ethics, and transparency are baked in.

Kiron, I like the way you framed it: new tech always reshapes the risk landscape. It’s a moving target, some risks disappear, but others emerge, and our checklists and practices need to evolve. I agree that involving SMEs early in risk identification makes the difference between “generic” risk registers and ones that actually help manage reality.

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1 reply by Sergio Luis Conte
Aug 31, 2025 10:53 AM
Sergio Luis Conte
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You are welcome. Not problem, I´d like to pointed it because the misunderstanding about AI that it is outside there and it is impacting people like me whom are working to use AI into initiatives. Sorry for taking your comment "as-is". Adding to that, few people know that when you use generative Ai the first step is to use consistency and trust checking to avoid hallucinations and to adjust generative AI parameters like temperature.
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Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
Aug 20, 2025 9:37 AM
Replying to Lissette Indhira Pimentel Sosa
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Thanks, Sergio and Kiron, really helpful perspectives.

Sergio, you’re right: I should have been more precise and call it generative AI specifically. The Responsible AI component is a great reminder, it’s not only about identifying risks, but also ensuring accountability, ethics, and transparency are baked in.

Kiron, I like the way you framed it: new tech always reshapes the risk landscape. It’s a moving target, some risks disappear, but others emerge, and our checklists and practices need to evolve. I agree that involving SMEs early in risk identification makes the difference between “generic” risk registers and ones that actually help manage reality.

You are welcome. Not problem, I´d like to pointed it because the misunderstanding about AI that it is outside there and it is impacting people like me whom are working to use AI into initiatives. Sorry for taking your comment "as-is". Adding to that, few people know that when you use generative Ai the first step is to use consistency and trust checking to avoid hallucinations and to adjust generative AI parameters like temperature.

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