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ZENODO
Report . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
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Artificial Intelligence Standardisation: Challenges and Opportunities

Authors: Giuffrida, Maria; Caetano, Isabel; Amirabdollahian, Farzad; Abergas-Arteza, Julie;

Artificial Intelligence Standardisation: Challenges and Opportunities

Abstract

The rapid advancement of AI is transforming industries and society, highlighting the need for standardised frameworks to ensure consistency, interoperability, and ethical integrity. This report, based on workshops by HSbooster.eu, connects AI standardisation expertise with domain-specific applications, exploring how standards can drive innovation while addressing ethical, risk, and regulatory challenges. Using cases from sectors like energy, healthcare, manufacturing, and mobility, the report illustrates the opportunities and challenges of AI standards. It also examines how compliance with regulations, like the EU AI Act, fosters trustworthy AI systems. A series of workshops held from June to July 2024 gathered EU-funded projects, industry leaders, and policymakers to discuss these issues. This report summarises key findings and offers recommendations for stakeholders in navigating the evolving landscape of AI standardisation. Visit HSBooster.eu to learn more about these events: 27 Jun 2024: AI Standardisation: Challenges & Opportunities on AI Use Cases in Key Sectors 4 July 2024: AI Standardisation: Challenges & Opportunities on Advancing Equity & Ethics in AI 11 July 2024: AI Standardisation: Challenges & Opportunities on AI & Emerging Technologies - SME perspectives

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average