Operationalising Responsible Innovation in Artificial Intelligence Ecosystems: From Implementation Mechanisms, Public Perceptions, to Technology Acceptance

Abstract

Artificial intelligence (AI) increasingly shapes everyday life, making responsible design and deployment essential. This thesis examined how AI-enabled technologies can be developed and governed to be safe, reliable, transparent and responsive to human needs. It developed a framework linking technical design, organisational decision-making, governance practices and user trust across the AI ecosystem. The findings show that successful AI deployment depends not only on technical performance, but also on accountability and continued alignment between technology, its operating environment and the people it serves.