SME-TEAM: Leveraging Trust and Ethics for Secure and Responsible Use of AI and LLMs in SMEs

• URL: http://arxiv.org/abs/2509.10594v2
• Date: Wed, 05 Nov 2025 16:07:58 GMT
• Title: SME-TEAM: Leveraging Trust and Ethics for Secure and Responsible Use of AI and LLMs in SMEs
• Abstract summary: Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing today's business practices.<n>Their adoption within small and medium-sized enterprises (SMEs) raises serious trust, ethical, and technical issues.<n>We introduce a structured framework, "SME-TEAM" for the secure and responsible use of these technologies in SMEs.
• Score: 2.731107993703351
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing today's business practices; however, their adoption within small and medium-sized enterprises (SMEs) raises serious trust, ethical, and technical issues. In this perspective paper, we introduce a structured, multi-phased framework, "SME-TEAM" for the secure and responsible use of these technologies in SMEs. Based on a conceptual structure of four key pillars, i.e., Data, Algorithms, Human Oversight, and Model Architecture, SME-TEAM bridges theoretical ethical principles with operational practice, enhancing AI capabilities across a wide range of applications in SMEs. Ultimately, this paper provides a structured roadmap for the adoption of these emerging technologies, positioning trust and ethics as a driving force for resilience, competitiveness, and sustainable innovation within the area of business analytics and SMEs.

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