BRIDGING ETHICS AND INNOVATION IN ARTIFICIAL INTELLIGENCE: A HUMAN-CENTERED APPROACH TO RESPONSIBLE TECHNOLOGY DESIGN

Abstract

Artificial Intelligence (AI) has emerged as a central force in digital transformation, offering vast opportunities for efficiency, creativity, and human well-being. Yet, its rapid growth raises pressing ethical concerns, including algorithmic bias, privacy risks, lack of transparency, and weak accountability. This article addresses the challenge of translating global ethical principles, such as those set by the EU AI Act (2025), into operational business frameworks, particularly for small-to-medium enterprises (SMEs) and emerging economies like Timor-Leste. Based on literature review and a qualitative applied research design combining conceptual synthesis and comparative thematic analysis (CTA), the study proposes an integrative model. The core finding is the Human-Centered Responsible AI Framework for Business (HCR-AI4B), which aligns ethical principles (fairness, transparency, privacy, and accountability) with innovation dimensions (creativity, inclusiveness, and sustainability). The HCR-AI4B operationalizes responsibility across four key pillars: Transparency & Explainability, Fairness & Inclusivity, Accountability & Human Oversight, and Sustainability & Digital Well-being. Findings suggest that this approach not only enhances public trust in AI, strengthens social legitimacy, and fosters the development of equitable and sustainable technological ecosystems, proving that ethics and innovation are complementary foundations. The framework serves as strategic guidance for researchers, developers, and policymakers to build AI that is inclusive, fair, and socially accountable.