ISO 42001 (Artificial Intelligence Management Systems)
Complying with ISO 42001 does not seem like a priority for several companies in all industries. The main reason lies in the way it was just introduced to the standards and how certification is mandatory. However, since it appeals and handles all AI management systems directly, its implementation and certification is a challenge, especially for companies that had a well-established AI management system already. At ISO Pros, we will be there to work with you on every step and guarantee your compliance, along with improvements in the system.
But before jumping in this project, we are convinced that proper case studies and understanding how this application works for you will be the best step.
First, you must know that despite the focus on AI systems, it isn’t necessarily a rinse and repeat during the implementation. Instead, you need to consider customization and work toward changes in the way the project will be handled. Otherwise, you will see yourself with individual elements that don’t seem to go well with your company.
Second, depending on the industry you are part of, you will notice changes in the structured framework you must develop and maintain after certification as well.
Third, we recommend starting from scratch instead of jumping right into the middle of it. In the end, going from step 5 or 6 to avoid “spending more resources” will cost you more in the long run.
Finally, consider audits, even if they aren’t done by our auditors. Audits play a crucial role before, during, and after ISO implementation. Hence, take the time to understand well where you are at and work from there on the recommendations that come out of the audits.
How ISO 42001 Is Shaping Companies Around the World
For tech companies, it was a matter of time in terms of implementation, considering how AI has been shaping their operations, learning models, and automated decision-making options.
One thing to know before understanding how ISO 42001 actually helps the world is that it aims for security and transparency. The common problems with AI are about people not being held accountable for decisions, data collection, or in case any consequences permeate in society.
The goal is having a structured framework that establishes a limit and wall in how things are used around AI management systems.
That being said, tech companies are adopting everything on AI fairness, transparency framework, regulatory compliance for any accountability and explainability, and in making sure there is no bias on the AI used and whether people are still considered important resources.
Other industries such as finance and healthcare are focusing more on the risk management parts of it. Making sure there is constant assessment, breaches and leaks are prevented, and that decisions are made by following protocol and security elements are key for these two fields.
Finally, the result in banks and even retails are more about data organization.
Everything boils down to safety and security as well as privacy, and ethical use of the systems implemented.
Hence, take the time to have our professionals at ISO Pros review all options, and how your ISO 42001 application should go.