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|DOI Name=10.1007/s12525-020-00441-4
 
|DOI Name=10.1007/s12525-020-00441-4
 
|Forschungsgruppe=Critical Information Infrastructures
 
|Forschungsgruppe=Critical Information Infrastructures
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|Forschungsgebiet=Trustworthy AI
 
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Version vom 27. Oktober 2020, 15:27 Uhr


Trustworthy artificial intelligence


Trustworthy artificial intelligence



Veröffentlicht: 2020 Oktober

Journal: Electronic Markets


Verlag: Springer


Referierte Veröffentlichung

BibTeX




Kurzfassung
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 Link: 10.1007/s12525-020-00441-4



Forschungsgruppe

Critical Information Infrastructures


Forschungsgebiet

Trustworthy AI