ISO 42001 (Artificial Intelligence Management Systems)
At ISO Pros, our professionals are fully qualified to work on your ISO 42001 compliance all the steps of the way. This includes usual audits, working on guidelines, understanding documentation, and even having you certified in no time.
However, is it worth having ISO 42001 compliance or something you should worry about?
While there are multiple standards that address cybersecurity and even the way artificial intelligence is being used, none of them address the aspect of risk management and control. Hence, ISO 42001 is crucial when it comes to security, safety, risk control, and having a reliable system in your business.
While this may sound… exaggerated, AI is something that continuously evolves. Moreover, companies are starting to make decisions based on data or information collected with their AI systems, which is usually not double-checked by human resources.
This leaves people in a dilemma about how it must be limited, regulated, and properly handled to avoid consequences internally and externally. Our role here is bringing all regulations to place and guaranteeing that your company handles every part of the process of having a secure and reliable system.
How do we do this?
Everything is focused on a structured framework, which includes working on your governance policies, developing security protocols, working on new parameters, training employees on the policies, applying new regulations, and working on combining multiple ISO standards with your current ISO 42001.
For the latter, the challenge lies in the standards and how your company will handle integrating them as a whole scheme, not simply having individual sections within your security and systems.
How to Apply ISO 42001 in Your Industry
Depending on the company and type of industry you are part of, you will realize that implementation varies.
First, it is all about finance. Most companies in the industry have been adapting AI as a whole for three specific tasks:
- Data collection. This includes working with clients’ information, handling credit scoring, working on loans, and all the options a person can have within the financial system.
- Making decisions. While it isn’t 100% advisable, it is possible making decisions of rejecting or approving loans and other credits based on a collection of details handled by the AI system.
- Working towards improvement and fewer human resources. This includes having certain repetitive tasks, such as organizing data or confirming requests.
Second, you have retail, and how it is used around customer profiling. This needs to be controlled in order to have ethical and responsible use in place.
Third, government and all legal entities have been applying AI systems for decision-making, but it requires transparency and confirmation.
Finally, healthcare lies on patient data and how AI diagnosis has become a “thing” in the industry.
We are here to work in every area depending on your business or institution. From there, consider the best governance policies and proceed in building the framework that can bring transparency, fairness, and proper security regarding AI management systems and all data involved.