-
AI and machine learning reshape international business research
Structured roadmap for integrating AI and machine learning into international business research, covering methods, applications to core IB constructs, and methodological challenges.
-
Study maps how AI guardrails shape language and control
Study examines how major AI companies implement guardrails as sociotechnical control mechanisms, revealing how code and language jointly regulate discourse in large language models.
-
P2P: From Prompt to Prototype - Functional UI Design with LLMs and MCP
Tutorial addressing the implementation gap in HCI research through LLM and MCP-enabled functional UI design, bridging conceptual design and deployable interfaces while maintaining accessibility.
-
Generative AI is reshaping accounting workflows
Systematic analysis of generative AI applications in accounting, examining workflow integration, data security considerations, and human-AI collaboration models for organizational implementation.
-
Linguistic analysis is central to understanding GenAI in education
Linguistic analysis of generative AI discourse in higher education reveals how agency, evaluation, stance, and coherence constructions shape learner outcomes and disciplinary representation.
-
Designing for Public Enlightenment: Enhancing Generative AI Literacy on Socio-technical Aspects in Informal Learning Spaces
Research develops interactive learning interventions for informal settings to address the public literacy gap in understanding generative AI's socio-technical risks and benefits.
