This chapter examines the evolution from principle-oriented artificial intelligence (AI) ethics to operational, evidence-based practice backed by governance tools and quantitative insights. We synthesize current global frameworks with an emphasis on the UNESCO Recommendation on the Ethics of AI, adopted by 193 countries in 2021, and present a synthetic quantitative study (N = 30) capturing stakeholder attitudes on trust, fairness, and regulation of AI. Findings indicate cross-sector support for regulation alongside a strong prioritization of human rights, fairness, and transparency. We propose a compact ethics-by-design checklist and implementation roadmap that connects high-level principles to concrete controls such as data governance, bias testing, and explainability mechanisms, thereby improving reproducibility and accountability in real deployments.