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Author

Martin Sposato

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Open access Aug 2026

Integrating AI in environmental education: a quality-focused framework for higher education institutions in emerging markets

This paper aims to propose a five-stage, quality-focused framework to guide higher education institutions in emerging markets through the integration of artificial intelligence (AI) into environmental education. It addresses a gap that existing frameworks have not filled: how institutions operating under resource c...

Eduardo Carlos Dittmar, Martin Sposato · 0 citations
Review Oct 2026

Artificial intelligence as enabler and object of strategic foresight: a theoretical framework for digital organisational transformation

Research on artificial intelligence (AI) in organisations has concentrated on operational efficiency and automation. This study aims to reposition AI as both a constitutive element and a strategic object of foresight, a dual role the literature has noticed but not theorised. A narrative literature review dra...

Eduardo Carlos Dittmar, Martin Sposato, Jenny Patricia Vargas Portillo · 0 citations
Sep 2026

Delegated but not absolved: why organizations must reclaim authority in algorithmic decision-making

The paper reframes delegation theory under AI conditions, arguing that the problem sits deeper than governance design, in a fundamental misclassification: algorithmic systems are not delegates in any meaningful organizational sense, and treating them as such removes accountability without removing authority.

Martin Sposato · 0 citations
Review Jul 2026

The ethics of AI–human collaboration: a socio-technical framework for responsible governance in complex global operations

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 · 0 citations

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