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AI Skills for Business Competency Framework

Authors: The Alan Turing Institute; Innovate UK; Department for Science, Innovation and Technology (DSIT); Digital Catapult; Science and Technology Facilities Council; British Standards Institution; Alliance for Data Science Professionals;

AI Skills for Business Competency Framework

Abstract

Artificial intelligence (AI) is reshaping how people live, work, and participate in society, offering significant potential to enhance productivity, competitiveness, and public value. As AI systems become increasingly embedded in everyday services and organisational processes, employees across all roles require the skills and confidence to engage with these technologies safely, effectively, and ethically. For organisations, successful AI adoption depends not only on technical capability but also on ensuring alignment with ethical principles, regulatory expectations, and long-term public trust. The AI Skills for Business Competency Framework has been developed to provide a structured understanding of the skills needed across the workforce. It offers a clear, role-aligned articulation of the knowledge, skills, and behaviours required for responsible and effective AI engagement across the workplace and wider society. The framework is designed to support organisations, educators, and policymakers in planning capability development, informing curriculum design, guiding organisational governance, and targeting professional training.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    2
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
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!
2
Top 10%
Average
Average
Green