The Digital Trust Radar – a structured collection and analysis of global AI guidelines
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Author (Corporation)
Publication date
2025
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Collections
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04B - Conference paper
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Human Interaction and Emerging Technologies (IHIET-AI 2025): Artificial Intelligence and Future Applications
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Pages / Duration
84-93
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AHFE Open Access
Place of publication / Event location
New York
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Abstract
The concept of Digital Trust can be utilized to classify and assess the responsible design, implementation and use of artificial intelligence (AI) technologies. Laws, standards, and guidelines are essential as they support the establishment of procedures that promote responsible AI technologies and therefore broad added value, societal acceptance and public confidence in AI. This contribution introduces the ´Digital Trust Radar´, a structured digital repository synthesizing seventy-eight guidelines, standards and laws relevant to establish responsible AI in organizations. Through a systematic approach, these documents were categorized and analyzed based on various criteria including authorship, geographic focus, intended audience, AI application domain, AI type, and governance alignment. The findings reveal significant variability in the scope and thematic focus of AI related laws, guidelines, or standards, emphasizing ethical, legal, and technical considerations. Our categorization scheme provides a comprehensive overview of international approaches to support AI governance for responsible AI and serves as a valuable resource for stakeholders navigating the complexities of AI design, integration and usage.
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Human Interaction and Emerging Technologies (IHIET): Artificial Intelligence and Future Applications
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ISBN
978-1-964867-37-3
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Gold
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Citation
Jäger, J., Karg, J., Asprion, P., & Misyura, I. (2025). The Digital Trust Radar – a structured collection and analysis of global AI guidelines. In T. Ahram, A. Lopez Arquillos, J. Gandarias, & A. Morales Casas (Eds.), Human Interaction and Emerging Technologies (IHIET-AI 2025): Artificial Intelligence and Future Applications (pp. 84–93). AHFE Open Access. https://doi.org/10.54941/ahfe1005899