Trustworthy artificial intelligence

Selected practical projects and reasons for the implementation deficit




trustworthy AI, human centered AI, best practices, implementation gap, AI regulation


While there are now a number of practical guides for implementing the concept of trustworthy artificial intelligence (AI), there is a lack of concrete examples and projects for implementations that could be used to highlight problems and success strategies of actors in the field. This paper presents selected implementation projects showing that the degree of concretization is still low throughout. Therefore, the reasons for the implementation deficit are then explored. There are three possible explanations: time-to-market considerations on the part of the companies, lack of clarity about which aspects of the concept of trustworthy AI are relevant at all for which applications, and the fact that the implementation of AI projects is more complex than the implementation of ‘normal’ software projects and thus requires specific arrangements.



How to Cite

Beckert B. Trustworthy artificial intelligence: Selected practical projects and reasons for the implementation deficit. TATuP [Internet]. 2021 Dec. 20 [cited 2022 Jan. 28];30(3):17-22. Available from: