generative ai

Deepfake Detection in the Generative AI Era: An Evidence-Based Taxonomy and an Empirical Audit of Reporting Practice

SEMANTIC TRANSFORMATION MODELS OF CULTURE-SPECIFIC REALIA IN GENERATIVE AI TRANSLATION BETWEEN ENGLISH AND UZBEK

This article examines semantic transformation models of culture-specific realia in generative AI translation between English and Uzbek. Particular attention is paid to the preservation, modification, generalization, explicitation, substitution, and reduction of culturally significant semantic components. The research a...

Mapping the Policy Landscape of AI in Higher Education: A Multi-level Analysis Across European Institutions

Abstract Generative AI has turned AI governance in higher education from a strategic concern into an operational issue affecting assessment, academic integrity, data protection, procurement, and institutional accountability. Yet comparative analysis across European, national, and institutional policy levels remains lim...

Signed Sets with Few Subset Sums at the Offset-Two and Next Boundaries: Complete All-Size Classifications

Revised manuscript dated 27 September 2026.For a finite set A of nonzero real numbers, let FS(A) denote its subset sums, including the empty sum, and put μ_n = floor((n + 1)²/4) + 1, K_n = μ_n + n − 2, and J_n = μ_n + n − 1. We give complete classifications at the two consecutive cutoffs K_n and J_n. At K_n, for every...

AI-use guidance for term papers, theses and dissertations: rule files, guides and log templates (German/English)

English: (German below) A bilingual (German/English) set of materials for using generative AI in academic term papers, theses and dissertations. A rule file, pasted once into a chat project, turns a general chatbot into a tutor that explains rather than supplies, questions rather than agrees, and declines requests that...

Adolescents in the Age of Artificial Intelligence: Navigating the Risks of Overuse

The study proposes a working definition of adolescent AI overuse and an interim clinical, educational, and policy framework, offering a conceptual foundation for the empirical research this area still lacks.

Arc length of an elliptical helix via Ramanujan's second perimeter approximation, with explicit pitch thresholds

We observe that one turn of the elliptical helix r(t)=(a cos t, b sin t, ct) has exactly the length of the ellipse with semi-axes sqrt(a^2+c^2) and sqrt(b^2+c^2). Consequently Ramanujan's second approximation for the perimeter of an ellipse gives a closed-form turn length, and the pitch makes the approximation more acc...

A strict improvement of the Terras-type bound for integers with long Collatz stopping times

Preprint. Let T be the shortcut Collatz map and c = 1 - H(1/log2(3)) = 0.05004..., where H is the binary entropy. The Terras bijection between residues modulo 2^K and parity words shows that at most 2^(alpha(1-c)K + o(K)) integers n <= 2^(alpha K) have coefficient stopping time larger than K. We prove that this Terras-...

What Should Exist Outside the Model?

This research agenda traces Yanyang Zhao's thinking from practical difficulties in sustained work with AI to questions about externalized experience, professional identity, functional continuity, and authority.WSEOM—What Should Exist Outside the Model?—examines how state, computation, judgment, experience, verification...

Dataset for Bibliographic Veneer and Verification Inertia:How Generative AI Suppresses Source Checking in Academic Information Seeking

Bibliographic Veneer and Verification Inertia:How Generative AI Suppresses Source Checking in Academic Information Seeking

Organizational Attention Structures and Corporate Employment in the Age of Generative AI: Evidence from Chinese Listed Firms

Abstract Facing the rapid proliferation of generative artificial intelligence (generative AI), why do some firms intensify layoffs of administrative staff while others achieve overall workforce expansion? Grounded in the attention-based view (ABV), we investigate whether a firm’s pre-shock resource allocation channels...

CHALLENGES IN KNOWLEDGE REPRESENTATION AND USE IN AI SYSTEMS

The effectiveness of modern artificial intelligence (AI) systems depends significantly on mechanisms for knowledge representation (KR) and use. Knowledge representation encompasses the methods and formalized models through which a computer system describes objects, facts, concepts, and the relationships among them. Alt...