“Compliance with this assessment list is not evidence of legal compliance, nor is it intended as guidance to ensure compliance with applicable law. Given the application-specificity of AI systems, the assessment list will need to be tailored to the specific use case and context in which the system operates. In addition, this chapter offers a general recommendation on how to implement the assessment list for Trustworthy AI though a governance structure embracing both operational and management level.” (High-Level Expert Group on AI, 2019, p. 24)“TRUSTWORTHY AI ASSESSMENT LIST (PILOT VERSION) “Transparency Traceability: Did you establish measures that can ensure traceability? This could entail documenting the following methods: - Methods used for designing and developing the algorithmic system: - Rule-based AI systems: the method of programming or how the model was built; - Learning-based AI systems; the method of training the algorithm, including which input data was gathered and selected, and how this occurred.- Methods used to test and validate the algorithmic system: - Rule-based AI systems; the scenarios or cases used in order to test and validate; - Learning-based model: information about the data used to test and validate. Outcomes of the algorithmic system: - The outcomes of or decisions taken by the algorithm, as well as potential other decisions that would result from different cases (for example, for other subgroups of users).” (High-Level Expert Group on AI, 2019, p. 28-29)