generative ai

Effects of Generative AI, Digital Leadership, and Teacher Professional Development on Multi-dimensional Student Development

Generative artificial intelligence (GAI), digital leadership, and teacher professional development affect multi-dimensional student growth in Xinzheng, China, senior high schools. Although the level of digital infrastructure investment is high, a large number of inland schools suffer an input-output paradox, in which t...

When AI Summarizes Reputation: A Multi-Model Fidelity Audit of Consumer Risk Signals and Platform Trust in E-Commerce

Generative AI review summaries recast dispersed consumer evidence into reputation signals, yet their evidentiary basis can be difficult to audit. This study asks whether algorithmic reputation distillation preserves auditable comparisons; consumer trust is outside the study’s scope. We audit restaurant and nightlife re...

Understanding generation Z’s credulity toward generative artificial intelligence (GenAI): a qualitative study

Gen Z users' over-reliance on GenAI is largely motivated by habitual trust, cognitive offloading and emphasis on efficiency rather than accuracy, and empirical evidence that motivation, cognition and context significantly affect user interaction with AI-produced content is provided.

A Cognitive Task Framework for Evaluating AI-Assisted S&T Planning: Evidence from Tibet’s 2021–2026 Project Classification System

AI-Driven Assessment

Generative Artificial Intelligence (AI) is transforming higher education assessment yet challenging the validity and authenticity of assessment evidence. This chapter argues that the central concern extends beyond academic dishonesty to whether assessment evidence genuinely reflects students' learning, reasoning, and d...

Generative AI as a cognitive support tool in early-stage design ideation: A human–AI co-ideation experiment

Findings indicate different profiles of evaluated ideation output rather than a uniform advantage for either condition, as perceived support in the AI-assisted workflow did not translate into a uniform advantage across originality-related ratings or into superior expert-rated preliminary design refinement.

Helpful or harmful? generative AI dependence, self-reported critical thinking disposition, and self-perceived employability among business students

Generative artificial intelligence (GenAI) is reshaping higher education by offering new forms of learning support while also raising concerns about over-reliance, reduced verification, and the weakening of independent cognitive engagement. Drawing on cognitive load theory, cognitive offloading, habit formation, and th...

AI and the layered evolution of information landscapes

The rapid adoption of generative AI has sparked debates about whether we are experiencing revolutionary disruption or evolutionary transformation of the information landscape. While headlines proclaim unprecedented changes, understanding AI's impact requires situating current developments within the evolution of how...

Enabling Reliable Legal Information Systems with LLMs and generative AI: A Structured Approach

From Generative Co-Design to Agentic Co-Delivery: A Conceptual Framework for Managing AI Process Debt in Scrum

A Trust-Adaptive Generative AI Framework for Competency-Centered and Integrity-Preserving Assessment in Higher Education

The rapid integration of generative artificial intelligence (GenAI) into higher education has transformed assessment practices, yet existing systems remain limited in adaptivity, integrity, trust, and fairness. This chapter proposes a novel framework, Trust-Adaptive Generative Assessment for Competency-Aligned Design (...

Abdication to AI: Leadership AI Literacy as the Difference Between Governing and Being Governed by AI

The remedy is not to delegate the details to AI specialists but to develop AI literacy in leaders themselves, the difference between an organization that governs its AI and one that is unknowingly governed by it.