The best illustration of how abstract ethical principles are put into practical use in IBM’s applied training workshops is the translation of broad values like fairness or transparency into measurable functional and non- functional requirements that guide system design. This approach concretely applies high-level ethical principles to the practical aspects of system development, ensuring that they are embedded into the design and operation of AI systems rather than remaining abstract concepts.

Explanation

• IBM’s applied training workshops focus on operationalizing ethics by defining clear, measurable criteria derived from broad ethical principles.
• This method ensures ethical principles such as fairness, transparency, and accountability are not just theoretical ideals but are systematically integrated into the AI system’s lifecycle.
• This approach is more practical than merely discussing ethical considerations in abstract or keeping records of ethics without direct application to system design.

This practical use aligns with IBM’s overall ethics governance framework, where they emphasize measurable and actionable ethics guidelines to ensure responsible AI development and deployment.