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

Fuente: arXiv
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Autori principali: Sarker, Iqbal H., Janicke, Helge, Mohsin, Ahmad, Maglaras, Leandros
Natura: Preprint
Pubblicazione: 2025
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author Sarker, Iqbal H.
Janicke, Helge
Mohsin, Ahmad
Maglaras, Leandros
author_facet Sarker, Iqbal H.
Janicke, Helge
Mohsin, Ahmad
Maglaras, Leandros
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2509_10594
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SME-TEAM: Leveraging Trust and Ethics for Secure and Responsible Use of AI and LLMs in SMEs
Sarker, Iqbal H.
Janicke, Helge
Mohsin, Ahmad
Maglaras, Leandros
Machine Learning
Artificial Intelligence
Cryptography and Security
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.
title SME-TEAM: Leveraging Trust and Ethics for Secure and Responsible Use of AI and LLMs in SMEs
topic Machine Learning
Artificial Intelligence
Cryptography and Security
url https://arxiv.org/abs/2509.10594