“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) Technical robustness and safety“Accuracy - Did you assess what level and definition of accuracy would be required in the context of the AI system and use case? - Did you assess how accuracy is measured and assured? - Did you put in place measures to ensure that the data used is comprehensive and up to date? - Did you put in place measures in place to assess whether there is a need for additional data, for example to improve accuracy or to eliminate bias? - Did you verify what harm would be caused if the AI system makes inaccurate predictions? - Did you put in place ways to measure whether your system is making an unacceptable amount of inaccurate predictions? - Did you put in place a series of steps to increase the system's accuracy?” (High-Level Expert Group on AI, 2019, p. 27)