generative ai

A knowledge-augmented diffusion framework for generating regionally distinctive architectural facades: a case study of Huizhou dwellings

Generating heritage facade images with recognizable regional style is increasingly feasible with diffusion models, but prompt engineering or standard fine-tuning alone rarely encodes the construction logic, spatial hierarchy, and symbolic rules that make such heritage architecture intelligible. This gap is critical for...

"AI will figure it out": System Compensation and Intent Deferral in Open-Ended Generative AI Interfaces

Open-ended generative AI systems may be reshaping how cognitive effort is distributed before and during task execution. This work-in-progress paper introduces two interrelated concepts: system compensation, the system’s ability to generate coherent responses from underspecified inputs, and intent deferral, the user beh...

Open–Closed World Communication: A Boundary-Centered Architecture for Generative AI and Logical Reasoning

Generative AI and logical reasoning systems are often contrasted as probabilistic and symbolic approaches. This paper argues that a more consequential distinction concerns the boundaries of the knowledge worlds in which they operate. Generative AI works effectively in an open-ended semantic space: it combines learned k...

Beyond accuracy: differential scoring patterns in generative AI writing assessment across cultural and linguistic diversity

Open–Closed World Communication: A Boundary-Centered Architecture for Generative AI and Logical Reasoning

Generative AI and logical reasoning systems are often contrasted as probabilistic and symbolic approaches. This paper argues that a more consequential distinction concerns the boundaries of the knowledge worlds in which they operate. Generative AI works effectively in an open-ended semantic space: it combines learned k...

Generative AI Makes Creative Output More Homogeneous

A systematic review and meta-analysis of empirical studies on homogenization in human–AI co-creation reveals a small but statistically significant homogenization effect associated with AI use.

Investigating the Potential of Large Language Models to Support Qualitative Data Analysis - Replication Package

Replication Package: Investigating the Potential of Large Language Models to Support Qualitative Data Analysis This repository gathers the complete replication package and open data regarding the master's dissertation entitled: Investigating the Potential of Large Language Models to Support Qualitative Data Analysis. T...

The Architecture of Modern Epistemology: Integrating Generative Artificial Intelligence, Process-Aware Pedagogy, and Experiential Ecologies in 21st-Century Education

The rapid development of educational technology and generative AI tools has caused a drastic change in the field of international education, shifting the location of the pedagogical locus from traditional content-centered instruction to technology-mediated, learner-centric, and experiential frameworks (Arifani et al.,...

AI transparency and bias mitigation in customer service: how ethical culture shapes customer trust

AI transparency and bias mitigation are reframed as governance and organizational control mechanisms, rather than mere technical features, which demonstrates that organizational ethical culture acts as a key informal context, shaping whether customers view these mechanisms as credible signals of fairness and accountabi...

A Right to One's Own Method: Worker-paired AI memory and the recording paradox in Union law

A class of AI system now entering professional workplaces maintains a persistent, individualised record of how a particular worker works, and adapts its outputs to that record. Existing and proposed Union instruments in this field — the GDPR’s automated-decision provisions, the Platform Work Directive, the AI Act’s hig...

A Right to One's Own Method: Worker-paired AI memory and the recording paradox in Union law

A class of AI system now entering professional workplaces maintains a persistent, individualised record of how a particular worker works, and adapts its outputs to that record. Existing and proposed Union instruments in this field — the GDPR’s automated-decision provisions, the Platform Work Directive, the AI Act’s hig...

PinDCO: Whole-Page Aware Dynamic Creative Optimization at Scale

This work presents PinDCO, a production DCO system for ad creative retrieval and selection on Pinterest, a billion-scale visual discovery platform, and introduces a Pixel-aware Adjustment Module (PAM) that adjusts scores based on creative size to encourage efficient screen real-estate utilization and better whole-page...