Trustworthy AI

The EU has proposed harmonized rules on artificial intelligence (AI Act) and a directive on adapting non-contractual civil liability rules to AI (AI liability directive) due to increased demand for trustworthy AI. However, the concept of trustworthy AI is unspecific, covering various desired charac...

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Main Authors: Jacob Livingston Slosser, Birgit Aasa, Henrik Palmer Olsen
Format: Article
Language:English
Published: openjournals.nl 2023-10-01
Series:Technology and Regulation
Subjects:
Online Access:https://techreg.org/article/view/13806
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author Jacob Livingston Slosser
Birgit Aasa
Henrik Palmer Olsen
author_facet Jacob Livingston Slosser
Birgit Aasa
Henrik Palmer Olsen
author_sort Jacob Livingston Slosser
collection DOAJ
description The EU has proposed harmonized rules on artificial intelligence (AI Act) and a directive on adapting non-contractual civil liability rules to AI (AI liability directive) due to increased demand for trustworthy AI. However, the concept of trustworthy AI is unspecific, covering various desired characteristics such as safety, transparency, and accountability. Trustworthiness requires a specific contextual setting that involves human interaction with AI technology, and simply involving humans in decision processes does not guarantee trustworthy outcomes. In this paper, the authors argue for an informed notion of what is meant for a system to be trustworthy and examine the concept of trust, highlighting its reliance on a specific relationship between humans that cannot be strictly transmuted into a relationship between humans and machines. They outline a trust-based model for a cooperative approach to AI and provide an example of what that might look like.
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spelling doaj.art-4d7fb7b32d494f889f0b82e0dfef6b0e2023-10-27T08:20:57Zengopenjournals.nlTechnology and Regulation2666-139X2023-10-01202310.26116/techreg.2023.006Trustworthy AIJacob Livingston Slosser0Birgit Aasa1Henrik Palmer Olsen2University of CopenhagenUniversity of CopenhagenUniversity of Copenhagen The EU has proposed harmonized rules on artificial intelligence (AI Act) and a directive on adapting non-contractual civil liability rules to AI (AI liability directive) due to increased demand for trustworthy AI. However, the concept of trustworthy AI is unspecific, covering various desired characteristics such as safety, transparency, and accountability. Trustworthiness requires a specific contextual setting that involves human interaction with AI technology, and simply involving humans in decision processes does not guarantee trustworthy outcomes. In this paper, the authors argue for an informed notion of what is meant for a system to be trustworthy and examine the concept of trust, highlighting its reliance on a specific relationship between humans that cannot be strictly transmuted into a relationship between humans and machines. They outline a trust-based model for a cooperative approach to AI and provide an example of what that might look like. https://techreg.org/article/view/13806Artificial IntelligenceTrustworthy AIArtificial Intelligence ActAutomated Decision MakingAdministrative Law
spellingShingle Jacob Livingston Slosser
Birgit Aasa
Henrik Palmer Olsen
Trustworthy AI
Technology and Regulation
Artificial Intelligence
Trustworthy AI
Artificial Intelligence Act
Automated Decision Making
Administrative Law
title Trustworthy AI
title_full Trustworthy AI
title_fullStr Trustworthy AI
title_full_unstemmed Trustworthy AI
title_short Trustworthy AI
title_sort trustworthy ai
topic Artificial Intelligence
Trustworthy AI
Artificial Intelligence Act
Automated Decision Making
Administrative Law
url https://techreg.org/article/view/13806
work_keys_str_mv AT jacoblivingstonslosser trustworthyai
AT birgitaasa trustworthyai
AT henrikpalmerolsen trustworthyai