Abstract: A system comprises memory configured for storing an emotional response engine configured for predicting an emotional state set in response to an input of a real-life scenario that may occur in the context of a range of use of an AI control system. The system further comprises user interfaces (UIs) configured for presenting the real-life scenario to human subjects. The system further comprises at least one non-invasive brain interface assembly configured for detecting brain activity of the human subjects in response to presenting the real-life scenario to each of the human subjects. The system further comprises a processor configured for determining a plurality of emotional state sets respectively for the human subjects based on the detected brain activity of the respective human subject, and updating the emotional response engine based on the predicted emotional state set and the determined emotional state sets.

Abstract: A non-invasive self-autonomous system and method of optimizing a lifestyle regimen of a person containing a combination of lifestyle variables is provided. At least one value of the combination of lifestyle variables is repeatedly modified, thereby creating different variations of the combination of lifestyle variables respectively having different sets of values. The different variations of the combination of lifestyle variables are sequentially administered to the person. Physiological activity of the person is detected in response to the administration of the combination of lifestyle variables to the person. Sets of qualitative indicators of an aspect of a lifestyle of the person are derived from the detected physiological activity of the person. The lifestyle regimen of the person is optimized based on the different variations of the combination of lifestyle variables and the derived sets of qualitative indicators.