Best practices for implementing RAI

Implementing RAI is not a one-time task but an ongoing commitment that requires embedding ethical considerations deeply into the fabric of AI development and deployment. The following expanded best practices offer a more granular guide for organizations striving to build ethical, transparent, and accountable AI systems.

Strategic governance and policy

As we know, effectively embedding RAI begins at the strategic level with clear mandates from executive leadership. The foundational best practice is the establishment of the RAI governance committee. This cross-functional body defines the organization’s ethical principles and sets the non-negotiable thresholds for risk and bias. Every AI initiative must start with a comprehensive ethical risk assessment checklist, where potential harms are quantified using the risk score (likelihood * impact). This initial step ensures that resources are immediately prioritized for high-risk systems...