ISO 42001 - Artificial Intelligence Management Systems
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At ISO Pros, we have been working in all types of ISO standards, regulations, and laws for over 22 years. As a result, we know what it takes to make adjustments, work towards improvements, and guarantee that companies and businesses are compliant without further issues. This has gained a lot of relevance not only because there are multiple ISO standards that require attention but also due to new additions, such as ISO 42001.
Take the time to discuss with us how we can help with your AI system and still maintain compliance with this brand-new regulation. After all, artificial intelligence has become more than a basic tool to some companies, meaning that operations and certain parts of keeping them running rely a lot on AI.
Companies that are not entirely dependent on AI or have barely established it as a tool will have to make several considerations surrounding implementation now or in the future.
Our recommendation is getting started early on when you are barely implementing your AI system or when you are planning to do so. Otherwise, it can lead to working over several corrective actions if you implement the system before properly considering the regulations.
Moreover, it helps you build a well-structured framework, which is not so common on standards as they tend to limit what you can do, not so much help you in knowing how to do it. We will be there to assist you through the process and make sure you can have all the benefits that come with ISO 42001. While at it, we guarantee compliance and that we work based on your system, not by following a basic concept.
Why Implement ISO 42001 When Your AI System Is Barely Established?
As mentioned before, it helps you work around a well-structured framework, but what does this actually mean?
AI is an amazing tool, but it introduces several issues when it comes to how it is used and whether this is safe or fair for your clients and even your employees.
ISO 42001 works in making you build it around accountability and explainability—to only mention a few aspects.
As a result, the system follows a pattern where you know what it is doing, where it is taking the information from, and how it is making decisions or working on your operations and tasks. This is important when companies have certain data and then breaches occur. Maybe the risk management aspect of the system fails, making your clients be exposed to harm and threads. In all this, someone needs to be held accountable.
As for explainability, it is a way of letting your clients know where decisions are coming from and why it was the final verdict in all this. For instance, imagine a client gets the wrong credit score. You will have to explain why and not simply offer numbers that were output by your AI system.
You want to get started in all this sooner than later to prevent complications and extra steps. Hence, take the time to do it with us at ISO Pros so that you can get the most out of it.
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