Framework introduces ethical considerations for AI adoption in decision-making, highlighting accountability and privacy.
The rapid adoption of Artificial Intelligence (AI) in automated decision-making (ADM) offers significant operational benefits, but also raises critical ethical, social, and governance challenges. As AI-related legislation continues to evolve, organisations need practical frameworks to align their systems effectively and responsibly. This paper introduces a five-layer AI adoption framework to support practical, responsible, and human-centred implementation of AI systems across sectors. The framework embeds core principles such as privacy, explainability, and accountability across system design, integration, and deployment, offering a structured pathway to implement AI systems that align with public values and operational needs.
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Sakhaee et al. (2025) studied this question.
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