Advancing Responsible AI Adoption for SMEs through Strategic Policy and Practice

Supporting small and medium-sized enterprises (SMEs) in adopting artificial intelligence (AI) responsibly requires policy and practice grounded in the everyday realities of SME operations. Constraints such as limited time, technical expertise, and governance capacity often hinder the integration of ethical and compliant AI into business processes. While AI has the potential to enhance productivity, decision-making, and customer engagement, these benefits will only be realised if policy frameworks are realistic, accessible, and tailored to the diverse needs of SMEs. Building trust, enhancing transparency, and simplifying digital guidance and tools are critical priorities high in digital age. Practical measures such as clear ethical standards, affordable compliance mechanisms, and timely digital skills support, can help SMEs navigate key risks such as data misuse, algorithmic bias, and inadequate consent practices. A balanced approach that embeds responsibility into innovation support, rather than treating it as a regulatory afterthought, is essential. By aligning ethical guidance with SME capacities and motivations, policy can foster more inclusive and resilient AI adoption across the small business ecosystem.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-15
DOI
https://doi.org/10.5281/zenodo.17140945
Primary Topic
Geography and Environmental Studies
Type
article
Field-Weighted Citation Impact
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article

Advancing Responsible AI Adoption for SMEs through Strategic Policy and Practice

Zenodo (CERN European Organization for Nuclear Research)
Geography and Environmental Studies
article

Advancing Responsible AI Adoption for SMEs through Strategic Policy and Practice

article en

Abstract

Supporting small and medium-sized enterprises (SMEs) in adopting artificial intelligence (AI) responsibly requires policy and practice grounded in the everyday realities of SME operations. Constraints such as limited time, technical expertise, and governance capacity often hinder the integration of ethical and compliant AI into business processes. While AI has the potential to enhance productivity, decision-making, and customer engagement, these benefits will only be realised if policy frameworks are realistic, accessible, and tailored to the diverse needs of SMEs. Building trust, enhancing transparency, and simplifying digital guidance and tools are critical priorities high in digital age. Practical measures such as clear ethical standards, affordable compliance mechanisms, and timely digital skills support, can help SMEs navigate key risks such as data misuse, algorithmic bias, and inadequate consent practices. A balanced approach that embeds responsibility into innovation support, rather than treating it as a regulatory afterthought, is essential. By aligning ethical guidance with SME capacities and motivations, policy can foster more inclusive and resilient AI adoption across the small business ecosystem.

Zenodo (CERN European Organization for Nuclear Research)
Brunel University of London (GB)
Openalex Percentile: Top 45%
Geography and Environmental Studies
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