Toward global ethical frameworks for AI: Aligning Artificial Intelligence with human values and progress

This article examines the critical challenge of establishing ethical governance frameworks for artificial intelligence systems as they increasingly influence decision-making across social, economic, and political domains. The article analyzes the multidimensional nature of AI alignment, exploring both technical dimensions—including explainability challenges, value alignment algorithms, and safety mechanisms—and sociocultural dimensions encompassing cultural variations in ethical priorities and value pluralism. Building on this analysis, the article proposes a comprehensive governance framework consisting of a three-tiered universal oversight structure, transparency and accountability mechanisms with risk-calibrated explainability requirements, and a certification program with differentiated standards across sectors. The article evaluates future implications across economic, security, and social justice dimensions, highlighting potential labor market transformations, dual-use security concerns, and strategies for ensuring equitable distribution of AI benefits. The article concludes with actionable recommendations for key stakeholders, emphasizing the need for adaptive regulatory approaches, ethics-by-design development practices, and expanded interdisciplinary research. This integrated approach to AI governance seeks to harness the transformative potential of artificial intelligence while safeguarding against unintended consequences, ensuring these powerful technologies remain aligned with human welfare and values in an increasingly automated world.