Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector
Chankook Park
Abstract
The integration of artificial intelligence (AI) in the energy sector offers transformative potential but is hindered by a complex web of interconnected socio-technical challenges. The existing scholarship often addresses these issues in isolation, lacking a practical framework to guide stakeholders through the complexities of responsible deployment. This study addresses this gap by conducting a systematic literature review to develop and propose an integrative, actionable governance framework. The proposed framework is built on four core principles: Trustworthiness, Sustainability, Equity, and Collaborative Adaptation. Crucially, it operationalizes these principles through a four-phased implementation process, a stakeholder-specific action matrix with measurable key performance indicators, and a set of critical success factors. By synthesizing diverse solutions—from technical standards for data and security to governance mechanisms for ethical oversight and workforce transition—into a structured, lifecycle-based approach, this study argues that moving beyond piecemeal fixes is essential for mitigating systemic risks. This framework provides a testable roadmap for future research and a practical guide for policymakers and industry leaders seeking to harness AI’s full potential in a sustainable, ethical, and inclusive manner.