Chapter 6. AI Engineering for Limited-Risk AI Systems
The previous chapter translated Articles 9 to 15 of the EU AI Act into actionable specifications for high-risk AI systems within the CRISP-ML(Q) lifecycle, providing practical checklists to support responsible development and management. It also introduced the concept of AI engineering in the context of EU AI Act compliance.
This chapter shifts focus to the Act’s requirements for limited-risk AI systems, with particular attention to transparency obligations. It explores how organizations can address these requirements proactively through MLOps. See Figure 6-1 for a visual of the steps to take to move toward compliance with the EU AI Act.
Figure 6-1. This chapter focuses on the requirements for limited-risk AI systems and the operationalization of compliance for such systems. See Chapter 1 for an explanation of the end-to-end process steps toward EU AI Act compliance.
The two guiding questions for this chapter are:
To comply with the EU AI Act, what requirements must limited-risk AI systems fulfill?
What processes, structures, and AI engineering practices need to be established to comply with the Act with regard to transparency obligations?
As you may have noticed, I mention both compliance and transparency obligations here. Let’s examine the difference between these two concepts.
Compliance Assessment Versus Transparency ...
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