Skip to content
Review

AI adoption as technology transfer: an integrative review and conceptual framework for governance, validation and knowledge preservation

Jul 2026 · AI and Ethics · Vol 6 · 0 citations · 35 references
Computer Science

TL;DR

It is argued that AI adoption should be understood not merely as automation but as a technology-transfer problem, and the AITTF is introduced, a seven-stage governance model designed to help organisations transfer workflows, expertise and decision-making into AI-enabled systems while maintaining accountability, operational integrity and organisational memory.

View source

Similar papers

Open access Aug 2026

Business Engineering as a Foundation for Sustainable AI Transformation: The ADAIEM Framework

The proposed framework offers a real-world action plan for sustainable AI transformation and a theoretical understanding of the phenomenon of AI transformation by offering a structured, risk-mitigated pathway toward high-maturity, AI-enabled enterprise operations.

M. Abuhaimed · 0 citations
Open access Aug 2026

AI Governance Engineering: A Framework for Secure, Explainable, and Trustworthy Enterprise Artificial Intelligence Systems

This paper argues for a transition from AI Governance as Compliance to AI Governance Engineering , a systems-oriented discipline in which governance is embedded throughout the enterprise intelligence lifecycle, enabling enterprise intelligence systems that are secure, explainable, trustworthy, and governable by design.

Faruk Çelikkanat · 0 citations
Conference Open access 2025

Embedding AI Risk Governance into Knowledge-Based Organizations: A Path Towards Systemic Sustainability

This paper explores how AI risk governance can be effectively integrated into the epistemological and structural foundations of such organizations through the lens of fourth-order cybernetics, and offers a conceptual pathway for resilient and ethically aligned AI implementation in complex organizational environments.

Ludmila Jiříčková, Petr Doucek · 0 citations
Open access Jul 2026

Responsible AI Architecture in Enterprise Modernization: Governance Frameworks, Equity Implications, and Regulatory Convergence

This article examines three interconnected dimensions of responsible AI for enterprise modernization: governance infrastructure for accountable AI deployment, algorithmic equity in high-impact decision environments, and the evolving international regulatory landscape shaping enterprise AI governance.

M. Modi · 0 citations
Open access Aug 2026

Artificial Intelligence Adoption in Government Institutions: Ethical Governance, Public Trust, and Risk Management

The findings demonstrate that the adoption of responsible AI cannot be achieved through technological means alone but also requires a commitment to comprehensive governance mechanisms, and the sequential interaction and interdependence of governance factors reduce operational and societal risks, increase transparency a...

Ghazwan Hani Hussein, Faiza Mohamed, A. Abuzreda · 0 citations
Review Open access Aug 2026

A GOVERNANCE-ORIENTED PROMPT ENGINEERING FRAMEWORK FOR AI-ASSISTED INTERNAL AUDITING

A governance-oriented framework that links 13 audit-specific prompt types to the main phases of the internal audit lifecycle: planning, fieldwork, reporting, and follow-up is developed and indicates that structured prompting can improve repeatability, transparency, and professional skepticism.

Özden Şentürk · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.