Jul 2026· Baltic Journal of Legal and Social Sciences· pp. 329-340· 0 citations· 11 references
TL;DR
The study concludes that ethics-by-design is a necessary condition for the legitimacy of AI governance in the EU, and identifies key mechanisms for such integration, including ethical impact assessments, algorithmic auditing, transparency tools, and human oversight.
Abstract
This article explores the evolution of artificial intelligence governance in the European Union, focusing on the shift from regulatory compliance toward ethics-by-design. While the EU Artificial Intelligence Act establishes a comprehensive risk-based framework, the study argues that compliance alone is insufficient to address deeper ethical challenges related to human autonomy, dignity, fairness, and power asymmetries in algorithmic systems. The article conceptualizes ethics-by-design as a form of operational normativity that embeds ethical principles directly into the lifecycle of AI systems. It identifies key mechanisms for such integration, including ethical impact assessments, algorithmic auditing, transparency tools, and human oversight. At the same time, it highlights challenges such as translating abstract values into technical practices and avoiding superficial formalization. The study concludes that ethics-by-design is a necessary condition for the legitimacy of AI governance in the EU. By integrating ethical reasoning into system design, it becomes possible to bridge the gap between legal compliance and substantive justice, reinforcing a human-centric model of digital governance.
A comprehensive model for integrating ethical standards into the phases of the Software Development Life Cycle (SDLC) is proposed, founded on the pillars of fairness, transparency, accountability, and sustainability, offering practical recommendations aimed at developers, organizations, and policymakers.
A. Alaswad· Al-Farooq Journal of Science...· 0 citations
Artificial Intelligence (AI) has rapidly transformed governance, legal systems, and political communication, offering both opportunities and significant ethical challenges. Among the most pressing concerns are accountability, transparency, algorithmic bias, and the protection of fundamental human rights. This study aim...
Eva Monalisa· International journal of soc...· 0 citations
The rapid diffusion of artificial intelligence (AI) across organisational and societal settings has heightened concerns about accountability, transparency, and ethical oversight. Existing governance mechanisms, including regulation and principle-based ethics frameworks, often struggle to address the scale, opacity, and...
The study advances GenAI governance scholarship by contributing a blueprint of a “virtue-based” governance regime, offering evidence-based and theoretically informed governance suggestions in global academia concerning the ethical use of GenAI.
Yanto Chandra, Guotong Liu· Data & Policy· 0 citations
This study examines the global system of ethical artificial intelligence (AI) regulation, focusing on supranational initiatives of the United Nations and the European Union, as well as AI implementation in public administration. It analyzes the challenges of applying ethical principles and prohibitions and evaluates pr...
Estelle Shatverian· International Journal of Sus...· 0 citations
A Multi-Layer Social-Theoretical AI Ethics Framework (MLST-AEF) that integrates normative ethical reasoning, stakeholder analysis, institutional context, bias and power assessment, and structured decision support is developed.
M. Fakrudeen, J. Otieno· AI and Ethics· 0 citations
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