{{Publikation Erster Autor |ErsterAutorNachname=Thiebes |ErsterAutorVorname=Scott }} {{Publikation Author |Rank=2 |Author=Sebastian Lins }} {{Publikation Author |Rank=3 |Author=Ali Sunyaev }} {{Article |Referiert=Ja |Title=Trustworthy artificial intelligence |Year=2020 |Month=Oktober |Journal=Electronic Markets |Publisher=Springer }} {{Publikation Details |Abstract=Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of individuals and the advancement of economies and societies, but also a variety of novel ethical, legal, social, and technological challenges. Trustworthy AI (TAI) bases on the idea that trust builds the foundation of societies, economies, and sustainable development, and that individuals, organizations, and societies will therefore only ever be able to realize the full potential of AI, if trust can be established in its development, deployment, and use. With this article we aim to introduce the concept of TAI and its five foundational principles (1) beneficence, (2) non-maleficence, (3) autonomy, (4) justice, and (5) explicability. We further draw on these five principles to develop a data-driven research framework for TAI and demonstrate its utility by delineating fruitful avenues for future research, particularly with regard to the distributed ledger technology-based realization of TAI. |DOI Name=10.1007/s12525-020-00441-4 |Forschungsgruppe=Critical Information Infrastructures }}