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Several seminal ethics initiatives have stipulated sets of principles andstandards for good technology development in the AI sector. However, widespreadcriticism has pointed out a lack of practical realization of these principles.Following that, AI ethics underwent a practical turn, but without deviatingfrom the principled approach and the many shortcomings associated with it. Thispaper proposes a different approach. It defines four basic AI virtues, namelyjustice, honesty, responsibility and care, all of which represent specificmotivational settings that constitute the very precondition for ethicaldecision making in the AI field. Moreover, it defines two second-order AIvirtues, prudence and fortitude, that bolster achieving the basic virtues byhelping with overcoming bounded ethicality or the many hidden psychologicalforces that impair ethical decision making and that are hitherto disregarded inAI ethics. Lastly, the paper describes measures for successfully cultivatingthe mentioned virtues in organizations dealing with AI research anddevelopment.

AI virtues -- The missing link in putting AI ethics into practice