  Several seminal ethics initiatives have stipulated sets of principles and
standards for good technology development in the AI sector. However, widespread
criticism has pointed out a lack of practical realization of these principles.
Following that, AI ethics underwent a practical turn, but without deviating
from the principled approach and the many shortcomings associated with it. This
paper proposes a different approach. It defines four basic AI virtues, namely
justice, honesty, responsibility and care, all of which represent specific
motivational settings that constitute the very precondition for ethical
decision making in the AI field. Moreover, it defines two second-order AI
virtues, prudence and fortitude, that bolster achieving the basic virtues by
helping with overcoming bounded ethicality or the many hidden psychological
forces that impair ethical decision making and that are hitherto disregarded in
AI ethics. Lastly, the paper describes measures for successfully cultivating
the mentioned virtues in organizations dealing with AI research and
development.
