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Cited by 23Ethics and Social Impacts of AIEthics in Business and EducationExplainable Artificial Intelligence (XAI)

TAII Framework for Trustworthy AI systems

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Baker-Brunnbauer, Josef·2021·ROBONOMICS: The Journal of the Automated Economy
DOI 10.67723/rj.v2i.17
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Abstract

Organisations and companies need practical tools and guidelines to kick-off the implementation of Trustworthy Artificial Intelligence (TAI) systems. AI development companies are still in the beginning of this process or have not even started yet. The findings of this article address to decrease the entry level barrier for AI ethics implementation by introducing the Trustworthy Artificial Intelligence Implementation (TAII) Framework. The outcome is comparatively unique given that it considers a meta perspective of implementing TAI within organisations. As such, this research aims to fill a literature gap for management guidance to tackle trustworthy AI implementation while considering ethical dependencies within the company. The TAII Framework takes a holistic approach to identify the systemic relationships of ethics for the company ecosystem and considers corporate values, business models, and common good aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. The TAII Framework creates guidance to initiate the implementation of AI ethics in organisations without requiring a deep background in philosophy and considers the social impacts outside of a software and data engineering setting. Depending on the legal regulation or area of application, the TAII Framework can be adapted and used with different regulations and ethical principles.

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  • This may also spur the emergence of generic trustworthy AI frameworks (regulatory sandboxes) that can be potentially adapted to different domains.

    “This may also spur the emergence of generic trustworthy AI frameworks (regulatory sandboxes) that can be potentially adapted to different domains, as it is discussed in [141].”

    From Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023) · cites this paper as [141]

    Section 3 (Trustworthy AI; page unavailable) says the TAII Framework can be adapted to different regulations and ethical principles, supporting the idea of an adaptable trustworthy-AI framework. The cited passages do not discuss regulatory sandboxes or suggest that such frameworks may emerge as a result of the development described in the citing sentence. (LLM, conf=0.84)

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Research works printed but not linked: 28

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Cited by

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Authors
Baker-Brunnbauer, J.
Corresponding author
Baker-Brunnbauer, Josef
ORCID
Baker-Brunnbauer, Josef
Venue
ROBONOMICS: The Journal of the Automated Economy
Publisher
Zangador Research Institute
Published
2021-12-16
Volume
2
Pages
17
ISSN
2683-099X (ISSN-L)
DOI
10.67723/rj.v2i.17
OpenAlex
W3200095873
Cited by
23
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 6 · 2023: 7 · 2022: 5 · 2021: 1
FWCI
5.94
Type
journal article
Language
en
Open access
Licence
Locations
ROBONOMICS The Journal of the Automated Economy (publishedVersion, cc-by)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Keywords
trustworthy AI, organizational values, business models, Sustainable Development Goals, Universal Declaration of Human Rights, societal impact of AI, AI regulation

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