Human-Centred Governance for Responsible AI Adoption: Enabling Sustainable Business Transformation and Societal Value
TL;DR
This study develops a six-phase human-centred governance framework for responsible AI adoption through an integrative synthesis of academic literature, international standards, and regulatory frameworks, including the NIST AI Risk Management Framework, ISO/IEC 42001, and the European Union Artificial Intelligence Act.
Abstract
Artificial Intelligence (AI) is transforming organisational operations and strategic decision-making, but its rapid adoption has outpaced the development of governance mechanisms capable of supporting sustainable growth and societal outcomes. Organisations face increasing challenges in translating ethical principles and regulatory requirements into actionable governance processes that align with business strategy and stakeholder expectations. This study develops a six-phase human-centred governance framework for responsible AI adoption through an integrative synthesis of academic literature, international standards, and regulatory frameworks, including the NIST AI Risk Management Framework, ISO/IEC 42001, and the European Union Artificial Intelligence Act. The proposed framework integrates strategic alignment, risk management, governance-by-design, organisational capability, continuous monitoring, and legal assurance into a structured and repeatable model. By positioning AI governance as a strategic capability rather than a compliance function, the framework provides a practical roadmap for organisations to embed responsible AI practices that enhance transparency, accountability, and trust. The study contributes to the field of human factors in business management by demonstrating how governance can enable sustainable organisational performance while supporting broader societal impact.