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Digital Policy, Regulation & Governance :Software documentation is not enough! Requirements for the documentation of AI
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Abstract
Purpose – Artificial intelligence (AI) is currently one of the most disruptive technologies and can
be applied in many different use cases. However, applying AI in regulated environments is
challenging, as it is currently not clear how to achieve and assess the fairness, accountability and
transparency (FAT) of AI. Documentation is one promising governance mechanism to ensure that
AI is FAT when it is applied in practice. However, due to the nature of AI, documentation standards
from software engineering are not suitable to collect the required evidence. Even though FAT AI
is called for by lawmakers, academics and practitioners, suitable guidelines on how to
document AI are not available. This interview study aims to investigate the requirements for AI
documentations.
Florian Königstorfer and Stefan Thalmann - Personal Name
NONE
Text
ENGLISH
EMERALD INSIGHT
2021
ENGLAND
JURNAL ILMU HUKUM
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APA Citation
Florian Königstorfer and Stefan Thalmann. (2021).Digital Policy, Regulation & Governance :Software documentation is not enough!
Requirements for the documentation of AI.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd