Jun 2026· AI and Ethics· Vol 6· 0 citations· 147 references
Computer Science
TL;DR
An integrated conceptual and heuristic framework centred on Silent Cognitive Erosion and Cognitive Sustainability is developed, arguing that the future of AI governance depends not only on the capabilities of intelligent systems, but also on the capacity of societies to sustain the cognitive, informational, educational, institutional, and governance conditions necessary for meaningful human participation and adaptive oversight across generations.
A novel methodology for future-proofing global operations against institutional voids and ethical risks in the digital infosphere is provides a novel methodology for future-proofing global operations against institutional voids and ethical risks in the digital infosphere.
Martin Sposato, Eduardo Carlos Dittmar· Journal of Information, Comm...· 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
The HCSAIGF contributes to AI governance research by providing an integrated explanatory architecture and offers a conceptual basis for future empirical research and more coherent governance practices.
Emre İmamoğlu· Journal of Perspectives in M...· 0 citations
The Qualitative Model of Ethics (QME), a naturalistic and teleological framework grounded in a single evaluative scalar: the generative capacity of the Whole Living System (WLS), provides a unified and operational framework for AI governance at scale.
The Anthropological, Spiritual and Civilizational (ASC) Framework is proposed as a diagnostic heuristic for extending trustworthy AI toward dignity, truth, social justice and humane futures, which requires future empirical and expert validation.
Carlos Alberto Echeverría Mayorga, Marta Irene Flores Polanco, José Miguel Esperanza Amaya· Societies· 0 citations