generative ai

The Universe's Second Organ: From Life, Self-Observation, and Artificial Intelligence to a Generative Theory of Cosmic Reflexivity

A Thirty-Axis Framework for Biological Reflexivity, Artificial Reflexivity, Human–AI Coupling, Civilizational Memory, and Open Futures Description The Universe’s Second Organ develops an interdisciplinary framework for exploring a provocative question: if life allows local parts of the universe to perceive, describe, a...

A living bibliography on the (non)uses of Generative AI in qualitative research

A living bibliography on the (non)uses of Generative AI in qualitative research A curated, continuously updated reading list tracking how qualitative researchers adopt, condition, contest and refuse generative AI. Refusal and non-use are treated as first-class subject matter rather than a gap in adoption — hence (non)u...

Redesigning Teaching, Learning, and Assessment in the Age of Generative AI: A Constructive Alignment Perspective for Higher Education

Higher education should neither ban nor normalize GenAI indiscriminately but redesign aligned teaching and assessment systems that protect independent judgment while preparing students for responsible human–AI collaboration.

THE LOGIC OF LEARNING MACHINES - How Artificial Intelligence Sees, Learns, Reasons, and Creates

The Logic of Learning Machines: How Artificial Intelligence Sees, Learns, Reasons, and Creates is a comprehensive educational textbook and reference work introducing the foundations, methods, applications, limitations, and future directions of artificial intelligence.Written for students and readers who want to progres...

A living bibliography on the (non)uses of Generative AI in qualitative research

A living bibliography on the (non)uses of Generative AI in qualitative research A curated, continuously updated reading list tracking how qualitative researchers adopt, condition, contest and refuse generative AI. Refusal and non-use are treated as first-class subject matter rather than a gap in adoption — hence (non)u...

ALGORITHMIC SMOOTHING AS NOETIC DEPRIVATION: THE PHENOMENON OF "ALGORITHMIC CASTRATION" AND THE BOUNDARIES OF AI IN HUMAN AUTHORS-OZARVEKS CREATIVITY

ABSTRACT This paper formulates and analyzes the concept of "Noetic Castration" (algorithmic smoothing) in the context of generative AI-assisted literary production. Operating strictly within syntactic and statistical optimization, Large Language Models (LLMs) interpret peak emotional, existential, and metaphysical expr...

Supply Chain Visibility and End-to-End Traceability: Enhancing Food Safety and Consumer Trust in the Consumer Products Industry

The consumer products industry has prioritized food safety incidents and opaque supply chains, as they are no longer an afterthought for them; it's become a strategic priority. This article discusses the practical benefits for foodborne illness risk reduction, quicker recalls, and consumer-trust restoration that can be...

Autonomous SSE: When Stable Completion Replaces Core Preservation in Human–AI Systems

This study extends the Stability Substitution Effect (SSE) to autonomous AI systems and conceptualizes the phenomenon in which stable task completion substitutes for preservation of the core conditions that define the task as Autonomous SSE.In generative AI, when an output is visually or logically coherent, that cohere...

ARTIFICIAL CREATIVITY AND THE HEALING PROCESS: USING GENERATIVE AI FOR STORYTELLING, METAPHOR, AND SELF-EXPRESSION IN THERAPY

Expert Evaluation of AI-Generated Cultural Heritage Imagery: A Dataset of 84 Images from Seven Generative AI Systems Across Twelve Heritage Elements

This dataset contains expert evaluation scores for 84 AI-generated images of twelve cultural heritage elements (spanning Ancient Egyptian, Greek, Roman, Islamic, Romanesque, Gothic, Renaissance, Plateresque, and Modernist traditions), each produced by seven widely used generative AI systems (Canva, Perplexity, Adobe Fi...

Seeing is No Longer Believing: A systematic Review of Authenticity, Trust, and Behavioural Responses to AI-Generated Visual Content

Generative AI is making visual content increasingly realistic, which makes it harder to assess its source, credibility, and legitimacy. Existing research offers limited insight into how the perceived authenticity of AI-generated visual content is formed and how it influences trust and behaviour. This study systematical...

Artificial Intelligence and Criminology

Machine learning is gaining momentum in criminology, and the unprecedented transformative power of generative artificial intelligence (AI) is poised to affect the discipline even more, perhaps in ways we currently struggle to imagine. In light of the growing role that AI plays in our field and in science overall, this...