Jul 2026· AI and Ethics· Vol 6· 0 citations· 43 references
TL;DR
The human vector of manipulation is identified as a critical but underexplored dimension of AI safety and a four-layer socio-technical defense framework spanning cognitive, system, institutional, and societal domains is proposed, intended to support comparative analysis, guide empirical evaluation pathways, and inform governance, policy, and system-design decisions across evolving AI deployment environments.
This review synthesizes recent empirical literature within a tripartite framework organized around the core pathways along which AI shapes social biases: AI design, lay beliefs about how AI operates, and processes of social evaluation and attribution.
Phyliss Jia Gai· Current Opinion in Psycholog...· 0 citations
This paper presents a lifecycle-oriented synthesis of human-AI collaboration risks spanning four stages: task allocation, interaction, feedback, and adoption, and proposes a conceptual interaction model that illustrates how these risks emerge from sociotechnical drivers, interact through cascading pathways, and ultimat...
Md Foysal Ahmed, Isaac Kobby Anni, Md Main Uddin Rony· 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
This paper introduces Socially Embedded Human-Centered AI as an extension of the Human Filter, the ethical mechanism through which humans interpret, question and evaluate AI outputs before they become consequential decisions.
Katerina Katsamba, Waldemar Pfoertsch· International Journal on Cyb...· 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
This study examines the transformative impact of artificial intelligence (AI) on the future of work from a human-centered, interdisciplinary perspective, highlighting the necessity of interdisciplinary collaboration to ensure that AI not only enhances efficiency but also promotes justice, well-being, and sustainability...
Cumali Kılıç· Çukurova Üniversitesi Sosyal...· 0 citations
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