generative ai

Trustworthy RAG: An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Generative AI Systems

An Evaluation Agent, middleware that combines Natural Language Inference factual verification, a five-signal poison detector with relevance-weighted aggregation, and a Trust Index is proposed, which reliably blocks instruction injection of unsafe advice while contradiction and subtle semantic weakening remain hard.

Cultivating AI literacy among high school students through generative AI as a collaborative partner

The potential of AI-enhanced project-based learning to support students’ development and application of AI literacy while underscoring the need for instructional scaffolding to guide students’ effective and ethical use of AI as a collaborative partner in K-12 learning environments is highlighted.

Generative AI Use Profiles in Latin American Higher Education: A Cross-Sectional Comparison of Two Cohorts

article/ investigation contribution

Generative AI and the risk to environmental justice

Fractal Soul: Mapping Sanjuanist Mystical Purifications Through Analogical Structural Isomorphism with Isomorphic Physics

This methodological working paper introduces a rigorous framework of Analogical Structural Isomorphism to map the precise, highly ordered interior geography of the soul’s passive purification as articulated by St. John of the Cross. Grounded in the doctrinal foundations of Thomistic hylomorphism (ST\ I,\ Q.76,\ A.1) an...

Examining Student Dependence on Generative AI tools in Programming Education

Programming students are no longer only learning to write code; they are also learning in environments where AI tools can explain, debug, and generate code alongside them. This shift creates a tension for programming education: the same tools that can make learning more accessible may also encourage dependence when stu...

The Digital-Ecological Nexus: Evaluating Cyber Law, Data Protection, and Environmental Law in India's Reformative Era

The Indian legal landscape is navigating a dual transformation: the rapid digitisation of governance and an intensifying climate crisis. In the digital realm, the Digital Personal Data Protection Act, 2023 marks a fundamental shift from a consent-only regime to a framework built on Data Fiduciaries and Data Principals....

A Student-Centered Framework for Responsible Use of Generative AI in Higher Education

Institutional guidance on generative artificial intelligence has expanded rapidly, yet it addresses administrators, instructors, and assessment designers rather than the students who make most decisions about AI use. Students report that the boundary of acceptable use remains unclear at the moment they must act. This c...

Modular Topology Reconstruction

This paper introduces a novel method for reconstructing complex topological structures from a set of modular building blocks, utilizing advanced pattern recognition and generative algorithms. The core principle centers on the creation of a "Semantic Topological Bridge" – an AI system that analyzes relationships between...

Custodians of the Interior Castle: Reclaiming Sacramental Realism, Canonical Order, and Mystical Purgation Against Modern Lay Ministerial Reductions

Contemporary pastoral practice within the Catholic Church is increasingly marked by the integration of lay-led spiritual renewal programs, deliverance protocols, and psychological inner-healing curricula. While initially deployed to revive nominal faith, these initiatives frequently institutionalize structural, canonic...

Fractal Soul: Mapping Sanjuanist Mystical Purifications Through Analogical Structural Isomorphism with Isomorphic Physics

This methodological working paper introduces a rigorous framework of Analogical Structural Isomorphism to map the precise, highly ordered interior geography of the soul’s passive purification as articulated by St. John of the Cross. Grounded in the doctrinal foundations of Thomistic hylomorphism (ST\ I,\ Q.76,\ A.1) an...

AI Transmission Kernels: Modelling Generative Systems as Operators in Human Cultural Transmission

Generative AI is commonly treated as a source of information or an intervention applied to an individual. This paper proposes a different formal object: the AI transmission kernel, defined as the conditional probability that a particular model, language and interaction configuration transforms one human epistemic varia...