generative ai

Reproducibility package for "Damming the delta: cross-border attribution of coastal-delta sediment starvation for transboundary river governance"

Reproducibility package for "Damming the delta: cross-border attribution of coastal-delta sediment starvation for transboundary river governance" (Yiran Li), revision 1 (R1) of the manuscript under review at the Journal of Hydrology: Regional Studies. This version supersedes version 1, which accompanied the original su...

Narrative Bias Full Dataset

Full dataset for Auditing Narrative Bias in Generative AI: How LLM Recommendations Concentrate and Recanonise Tourism Cities

Human Agency in AI Use: Exploratory findings from surveyed generative AI users

This report presents exploratory findings from a survey of 76 adults who had used generative AI for at least three months. It examines how everyday AI use relates to independent thinking, verification, explanation, capability retention and decision authority. Three patterns emerged. Frequency of use was a weak guide to...

Does the UX design knowledge of the prompter matter when vibe designing? The impact of prompt expertise on AI-generated user interface design

This dataset was generated from a study examining differences between novice and expert prompting approaches. Thirty designs were created and subsequently evaluated by two design experts and Generative AI (GenAI), enabling a comparison between human and AI-based assessments. The analysis focused on key design principle...

Evaluating the Impact of Generative AI-Driven Adaptive Assessment Frameworks on Critical Thinking and Academic Integrity in Higher Education

Generative Artificial Intelligence (GenAI) adaptive assessment, in which the difficulty of questions, hints and feedback adjust to a learner’s live performance, is increasingly presented as a means of supporting personalised learning and critical thinking. At the same time, it may encourage cognitive offloading and cre...

Measuring AI literacy in design education: development and validation of the artificial intelligence literacy scale for design students

Abstract Generative Artificial Intelligence (AI) is increasingly embedded in design practice, challenging how design education fosters students’ AI literacy and thus prepares students to engage efficiently with AI. However, there is currently no domain-specific theoretical framework and reliable instrument in the liter...

PREreview of "You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147062. ## Summary This paper identifies a genuinely under-appreciated routing axis: after a model router picks Llama-3.3-70B, the client must still choose *which provider serves...

PREreview of "Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147109. ## Summary Routing evaluations start the clock too late: they measure serving-time savings but ignore the upfront supervision cost — up to N×M query–model executions befor...

The Copyrightability of Artificial Intelligence-Generated Content in China

The commercial application of generative artificial intelligence has rapidly brought to the fore the structural tension between machine-generated content (AIGC) and the core presuppositions of copyright law concerning the “author”. Adopting a Sino-US comparative law approach, this paper examines the institutional diver...

Exploring Culturally Responsive Teaching Awareness in the Age of GenAI: Voices from Indonesian EFL Pre-Service Teachers

This study explores pre-service EFL teachers’ awareness of integrating GenAI into CRT in West Kalimantan, Indonesia. Using a qualitative descriptive design, data were collected through semi-structured interviews with 35 final-semester pre-service EFL teachers and analyzed using Braun and Clarke’s thematic analysis. Int...

PREreview of "Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147109. ## Summary Routing evaluations start the clock too late: they measure serving-time savings but ignore the upfront supervision cost — up to N×M query–model executions befor...

Are Students Dependent on Generative AI? Analyzing Psychological Mechanisms Through the I-PACE Framework