iso42001-Outsourced Internal Auditing-ISO PROS #32

ISO 42001 (A.I. Systems)

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iso42001-Outsourced Internal Auditing-ISO PROS #32

Working with AI as a new tool brings no problems until it is introduced into a business and more rigid environment. For instance, personal use of AI tools and systems is not wrong, but what happens when it translates to healthcare institutions, retail businesses, or even finance? Everything takes a different turn. At ISO Pros, we are well aware of the recurring changes in AI policies, including how ISO 42001 compliance and implementation is more of a must than a suggestion.

ISO 42001 is the first international standard that focuses on AI management systems and how businesses implement artificial intelligence in their operations. This ranges from the basics of data collection to establishing security protocols and decision-making.

It is not the same making decisions with data directly collected by employees or confirmed by them, then coming to a conclusion, compared to a whole system handling collection, organization, and decision-making.

In fact, decision-making is questionable as a whole in terms of ethics, responsibility, and accountability. If the AI system makes the decision, who is being responsible for it? Moreover, does that mean no human resource is being introduced to this whole scenario?

There are several aspects to consider and ISO 42001 brings forward all regulations and requirements needed. Otherwise, it would be quite tough to establish security, safety, and great protocols that protect both you and the public.

Our role is helping you bring everything together, work on establishing a well-structured framework, and guarantee that four aspects are always considered:

  • Transparency.
  • Security.
  • Accountability.
  • And explainability.

AI Ethics Debate and How ISO 42001 Solves it (or Not)

The main problem with AI is its ethical use.

Does it really consider intellectual property as such? What about human resources and their need for jobs? What happens with data and when something goes wrong? Who is held responsible for issues within an AI management system?

All these questions (and many more) have been addressed since AI becomes a regular tool for every individual. As a result, multiple standards have been created and requested to be compliant with by law.

ISO 42001, while it isn’t the last straw of the standard needed for all AI-related, it is a good start when controlling fairness, bias, transparency, and ethics.

All regulations and elements added to documentation bring a full perspective. It is possible having an entire design and avoiding a structured framework that lacks exactly that structure.

Therefore, you can establish a game plan. Work from the specific needs and how your AI management system works and then bring an entire plan on how you can adapt it to fulfill four aspects:

  1. Back to transparency related to all data and how decisions are made, as well as the information used for internal or external purposes.
  2. Accountability regarding how your company will address any consequences or risks.
  3. Handling governance policies to guarantee a functional and safe use of AI systems.
  4. Working with explainability to have a hold of what AI entails in your company.