AI ethics on Thursday, 15 January 2026

The rise of artificial intelligence (AI) in education, particularly generative AI, challenges the sufficiency of the established Technological Pedagogical Content Knowledge (TPACK) framework. AI’s agentic autonomy, epistemic complexities, and ethical dimensions necessitate an evolved model. This study investigates the newly proposed Intelligent-TPACK (I-TPACK) framework, designed to address these gaps by integrating five knowledge domains: AI-Technological, AI-Content, AI-Pedagogical, Human-AI C

Multiple articles have touted the longitudinal promise of artificial intelligence (AI) in radiology, including projections of streamlining repetitive tasks, improving workflow, and reducing physician burnout. The purpose of this article is to review publications directly assessing the impact of AI on radiologist burnout and the impact of AI on the established drivers of radiologist burnout. Our analysis found conflicting, inconclusive limited data that AI reduces radiologist burnout, and the bal

Large language models (LLMs) are emerging as powerful tools in healthcare, with a growing role in global health, particularly in low- and middle-income countries (LMICs). This Perspective examines the current progress, challenges and prospects of LLMs in addressing health system disparities and supporting the achievement of the Sustainable Development Goals (SDGs). While high-income countries dominate the development and deployment of LLMs, LMICs face substantial barriers. These include limited

This article examines the impact of data analytics, artificial intelligence (AI) technology, and cloud computing on HR efficiency of Jordanian organizations, with emphasis on the moderating effects of information quality. A quantitative approach was utilized, and structured surveys were distributed to HR experts and HR managers who work in different industrial sectors in Jordan. Data from 415 valid respondents were statistically analyzed rigorously using the statistical software SPSS and AMOS, a