generative ai

Algorithmic epistemic authority and the degradation of organizational knowledge: how generative AI breaks the provenance structure of knowledge management systems

The observation–knowledge nexus and AEA are introduced as KM constructs distinct from automation bias and prior algorithmic authority, and translates them into governance interventions.

AI in Agriculture: Transforming the Food System from Data to Decisions to Action

It is concluded that policy choices made in the near term will significantly shape both the pace and equity of AI adoption across U.S. agriculture.

The Verification Bottleneck in AI-Accelerated Knowledge Work: Queueing Epistemics, Verification Capacity and Adaptive Human Oversight

The verification bottleneck is developed as a distinct socio-technical mechanism and queueing epistemics is introduced, a framework for analysing knowledge reliability when verification-demanding outputs arrive faster than bounded review capacity can process them, to establish a general design principle: AI productivit...

GENERATIVE ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: PSYCHOLOGICAL, ACADEMIC, SOCIAL, AND EQUITY IMPLICATIONS FOR STUDENT WELLBEING AND SUCCESS

This literature review synthesizes recent research on the connections among Artificial Intelligence, digital well-being, and student success, with a particular focus on mental health support, academic learning, cognitive engagement, help-seeking behavior, human interaction, and equity.

Evaluating the Performance of Voice and Text Retrieval in Arabic Generative AI Tools Among Graduate Students: Gemini as a Case Study

Generative AI-guided conductive carbon-network regulation in heterogeneous carbon–ceramic composites for transient energy dissipation

Negotiating generative AI use and academic integrity in Saudi EMI higher education: A qualitative interview study of student and instructor perspectives

The use of generative AI tools among individuals with cancer and their caregivers: a cross-sectional study of awareness, attitudes, and experiences

While patients and caregivers desire physician-verified tools, oncologists must proactively invite open, non-judgmental discussions about AI usage to clinically verify patients’ findings, mitigate misinformation risks and ensure safe integration into clinical practice.

Epistemic reflexivity for AI-augmented research

It is argued that researchers and institutions can position generative AI both as a tool for epistemic reflexivity and as an object that must be examined reflexively.

Generative artificial intelligence to augment ethical problem solving in ophthalmology: GPT-5.1 versus a human ethicist

Compared to human ethicist responses, GPT-5.1 responses demonstrated lower readability; however, GPT-5.1 responses received significantly higher ratings for both outcomes of likelihood-of-use and perceived patient impact, respectively.

Generative AI in higher education: A systematic review of empirical uses, outcomes, and risks

(Whose defaults?) Is artificial intelligence reorienting archaeological methods?

Generative AI and the practice of"vibe coding"are changing how archaeologists carry out computational research, but their effects on the discipline's range of methods is still understudied. In this paper, we evaluate whether large language models (LLMs) are narrowing the variety of methods archaeologists use. We first...