Which of the following is NOT a principle of AI ethics identified in AI Verify?

The principle identified as not being part of AI ethics in the AI Verify context is cost reduction. The core principles of AI ethics typically focus on aspects such as explainability, inclusivity, and safety, which are fundamental to ensuring that AI systems operate fairly, transparently, and without harm to individuals or society.

Explainability refers to the need for AI outcomes to be understandable by users, allowing them to comprehend how and why decisions are made. This principle is vital for building trust in AI systems and ensuring accountability.

Inclusivity emphasizes the importance of considering the diverse needs and perspectives of all stakeholders, particularly those from historically marginalized or underrepresented groups. Ensuring inclusivity helps prevent biases and promotes equity in AI applications.

Safety highlights the necessity to develop AI systems that prioritize the wellbeing of users and society as a whole, focusing on preventing harm and ensuring reliability in various contexts.

Cost reduction, while potentially a factor in the operational goals of organizations utilizing AI, does not align with the ethical principles that govern the responsible development and deployment of AI technologies. Instead, it is more of a business objective rather than an ethical guideline in the AI governance landscape.