Human-centric trustworthy Al must be...

Based on the European Commission's Ethics Guidelines for Trustworthy AI, achieving human-centric, trustworthy AI is not a static, one-time achievement but a continuous, iterative process. The guidelines explicitly state that AI systems must be continually assessed, monitored, and updated throughout their entire lifecycle. This ongoing evaluation ensures that the AI system remains robust, safe, and aligned with ethical principles as it learns, evolves, and interacts with changing environments. Continuous monitoring is essential to identify and mitigate emerging risks, biases, or unintended consequences that may not have been present or visible during the initial design and deployment phases, thereby maintaining public trust and safety.

A. quality assurance certified: While QA is part of software development, the specific ethical framework for Trustworthy AI mandates continuous lifecycle assessment rather than a singular certification.

C. financially sustainable: Financial sustainability is a business objective, not a requirement for an AI system to be classified as ethically trustworthy or human-centric.

D. tested by humans: Human oversight is required, but testing alone is insufficient; the framework specifically demands continuous assessment and monitoring throughout the operational lifecycle.

1. High-Level Expert Group on Artificial Intelligence (AI HLEG). (2019). Ethics Guidelines for Trustworthy AI. European Commission. Chapter 3 (The Assessment List for Trustworthy AI), pp. 26-27.