generative ai

Guidance for laboratory implementation, governance and continuous assurance of artificial intelligence in histopathology

Abstract Artificial intelligence (AI) is rapidly transforming histopathology, with applications ranging from workflow optimisation and quality assurance to tumour diagnosis, grading, biomarker assessment and estimation of prognosis. While numerous AI algorithms have demonstrated promising analytical and clinical perfor...

Artificial Intelligence in Counseling and Counseling Psychology: A Counselor-Led Framework for Ethical Practice & Training

As generative artificial intelligence (AI) tools like ChatGPT become increasingly accessible, counseling psychologists are exploring their potential use in clinical practice, often without clear guidance or ethical frameworks. This paper presents a counselor-led model for integrating generative AI tools into counseling...

Analysis Capability Dynamics of E-Commerce MSMEs in Adopting Generative AI Technology for Content Strategy Efficiency Creative

The findings show that detecting capability develops organically through a bottom-up process, with creative staff acting as information gatekeepers, and transforming capability emerges by restructuring conventional workflows into a human–AI hybrid model, in which AI generates ideas and drafts, while creative staff perf...

Development of a rapid assessment method for responsible use of generative AI in scientific research: Application to the Ugandan research context

Abstract Objective Researchers are increasingly using generative artificial intelligence (GenAI) to support tasks such as literature review, academic writing, programming, data interpretation, and knowledge synthesis. We developed a Rapid Assessment Method for Responsible Use of Generative AI in Scientific Research (RA...

Experiencing AI at work:How affordances shape motivation, agency and creativity

Artificial Intelligence (AI) is increasingly embedded in organisational life, and this dissertation explores employees’ experience of AI in everyday work. It focuses on broad-application AI, commonly introduced through organisational initiatives led by HR, Learning & Development, or IT with the aim of supporting employ...

The Generation-Governance Impedance Mismatch: Protocol-Governed Systems in the AI Era

The increasing adoption of generative artificial intelligence (AI) in software development introduces a structural asymmetry: implementation generation now occurs at machine speed, while behavioral governance remains constrained by institutional deliberation. These processes are not merely mismatched in velocity; they...

The Generation-Governance Impedance Mismatch: Protocol-Governed Systems in the AI Era

The increasing adoption of generative artificial intelligence (AI) in software development introduces a structural asymmetry: implementation generation now occurs at machine speed, while behavioral governance remains constrained by institutional deliberation. These processes are not merely mismatched in velocity; they...

Generative AI in Higher Education: A PRISMA-ScR Scoping Review of Academic Support, Multilingual Mediation, Ethics, Dependence, and Risk

When AI meets design: the role of enhanced and impeded human–AI interaction in designers’ value co-creation

Results show that the informativeness and novelty of GAI outputs significantly and positively predict designers’ co-creation intentions, and actionable guidance for GAI application in design practice is provided.

AI-Powered Chatbots for Customer Service in Banking

This study examines the role of AI-powered chatbots in enhancing customer service within banking institutions by reviewing existing literature and proposing a conceptual framework for chatbot adoption, and highlights challenges associated with privacy, trust, cybersecurity, and ethical considerations.

Generative AI in Popular Music Production: A Conceptual Review and a Proposed Human–AI Co-Creation Framework

Responsible Integration of Generative Artificial Intelligence in Clinical and Health Sciences Publishing

This editorial highlights the evolving principles of responsible GAI use in publishing, including the prohibition of GAI authorship, disclosure of GAI assistance, and continued human oversight.