Which of the following is the MOST important reason to perform regular ethical reviews of AI systems?

The primary and most fundamental purpose of an ethical review for an AI system is to assess its impact on people and society. This is most precisely captured by ensuring the system's operations align with the preservation of individual rights. Core ethical principles in AI, such as fairness, non-discrimination, privacy, and autonomy, are directly rooted in fundamental human and individual rights. While other aspects like performance and organizational alignment are important, they are often secondary to or derived from this core ethical mandate to "do no harm" and protect human dignity and rights.

A: Improving accuracy and performance is a primary goal of technical and operational reviews, not the central purpose of an ethical review.

B: Aligning with organizational values is a key governance activity, but these values should be grounded in the more fundamental and universal principle of preserving individual rights.

D: Identifying data drift is a technical model monitoring task. An ethical review is concerned with the impact of such drift on fairness and rights, not the technical phenomenon itself.

1. National Institute of Standards and Technology (NIST). (2023). AI Risk Management Framework (AI RMF 1.0). The framework's core is defined by seven characteristics of trustworthy AI

including "Fair - with harmful bias managed" and "Respectful of privacy

" which are directly tied to protecting individual rights. (See Section 3.2

"Characteristics of trustworthy AI systems

" pp. 12-13).

2. OECD. (2019). Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449. The first two principles are "Inclusive growth

sustainable development and well-being" and "Human-centred values and fairness." The latter explicitly states that AI systems should be designed in a way that respects "the rule of law

human rights and democratic values." (See Section 1

Principles for responsible stewardship of trustworthy AI

pp. 4-5).

3. High-Level Expert Group on Artificial Intelligence

European Commission. (2019). Ethics Guidelines for Trustworthy Artificial Intelligence. The document states that Trustworthy AI has three components

one of which is that it should be "lawful

" which includes compliance with all applicable regulations

such as those concerning fundamental rights. The entire framework is built upon a "fundamental rights-based approach." (See Chapter I

"Foundations of Trustworthy AI

" p. 9).