Operationalising Responsible Innovation in Artificial Intelligence Ecosystems: From Implementation Mechanisms, Public Perceptions, to Technology Acceptance
This thesis examined how AI-enabled technologies can be developed and governed to be safe, reliable, transparent and responsive to human needs and developed a framework linking technical design, organisational decision-making, governance practices and user trust across the AI ecosystem.
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.
Generative artificial intelligence (AI) is transforming digital platforms by reshaping customer interaction, organizational decision-making, and platform strategy. This teaching case presents a strategic dilemma in which managers must determine how AI should be integrated into a livestreaming platform after AI-powered...
C. S. Chen, C. C. Liu· Journal of Information Techn...· 0 citations
Agentic AI is becoming a coordination layer for the internet economy, but research still emphasizes task automation. Comparing Amazon, Alibaba, and Shopify, this paper develops an AI orchestration configuration (AIOC) framework based on intelligence locus, action authority, data and service boundary, and governance saf...
Jin-Yu Liu, Heng Li, Xian-Hao Wu· Advances in Economics and Ma...· 0 citations
To support the next phase of European AI governance, this paper asks what forms of knowing, judging, and acting already exist within public administration—and how these should shape the design of artificial intelligence tools introduced to work alongside public servants. The notation Alternative Intelligence [ai] is in...
The study argues that collaborative intelligence should be viewed as an organizational capability rather than merely a technological outcome, requiring deliberate management of human judgment, ethical responsibility, and organizational design.
M. R· International Journal of Phi...· 0 citations
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· International Journal of Res...· 0 citations
Artificial intelligence (AI) systems are increasingly central to decisions that impact individuals and society, showing the need for these systems to align with stakeholder values. However, traditional engineering approaches often relegate values to implicit considerations or early design phases, which diminishes their...
