Fairness in AI includes concerns for equality and equity by addressing issues such as bias and discrimination. THEMIS acknowledges perceptions of fairness differ among AI users and may shift depending on usage of the AI system.

Assessment of technical accuracy and robustness in the ‘AI-based Assessment of Technical Accuracy & Robustness’ module will be implemented on the principles of an AI-driven anomaly detection system.

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“AI based assessment of Impact of Decision” will be  a qualitative model of the socio-technical environment  containing all the possible actions that the AI system can recommend, and  all the KPIs that might be affected by any of the possible actions.

The THEMIS "AI-based Anonymous Assessment of Human" module will incorporate the human perspective to the evaluation of trustworthiness by assessing both human behavioural and moral value aspects.