AI-RULE for Trustworthy AI

As AI systems become pervasive, and are applied to life-critical use-cases, there are increasing concerns about the power and trustworthiness of these systems. Human-First AI takes into account these concerns and supports the implementation of a set of actionable rules to ensure the development of trustworthy AI. The principles are set forth in the AI-RULE methodology below.

H1st models & applications should exhibit the following properties:

Item	Trait	Description
A	Auditable	Actions and artifacts are recorded for examination
I	Idealizable	Aspires to ideals like fairness ethics
R	Reliable	Optimizes for quality & reliability, particularly in life-critical systems
U	Understandable	Overall systems and models are described for understandability
L	Lockable	Optimizes for the privacy and security users
E	Explainable	Particular decisions are explained for human trust & confidence