Ethics and Social Impacts of AI

Calibrated simulation model shows AI consistently widens wage gaps between high- and low-skill workers, with AI taxation proving more effective than training subsidies at reducing inequality.

Decentralized social media operators define boundaries for AI integration, rejecting autonomous systems in favor of tools that support human governance and community autonomy.

Sociosemiotic analysis of 47 international AI governance documents reveals that consensus on core principles masks implementation gaps and actor tensions in global regulation.

Panel analysis of participatory AI's limits in promoting social justice, examining tensions between localized knowledge production and AI system scalability.

Study reveals why business leaders still prefer spreadsheets over AI analytics tools, identifying skill gaps and design barriers preventing adoption of advanced analytics platforms.

Examine how AI-powered video interview platforms discriminate against job seekers with disabilities through algorithmic bias, surveillance, and opacity in hiring processes.

Study examining how interactive interface design can promote trustworthy large language model integration in newsrooms, identifying five key challenges and prototyping solutions.

Learn how experts validated a comprehensive AI engineering curriculum design, balancing interdisciplinary education with practical implementation challenges in higher education.

Survey of 583 Chinese undergraduates validates the UNESCO AI Competency Framework, revealing stronger performance in ethics and mindset than technical skills, contradicting national priorities.

Explore multi-agent AI's five-component architecture and framework spanning technical capabilities, organizational integration, and socio-technical implications for fair, accountable AI systems.

Framework proposing that robots deliberately breaking conventional behavioral rules can create more ethical, effective, and socially intelligent interactions than strict rule adherence.

Mixed methods study of 723 prospective teachers finds GenAI acceptance and AI literacy vary by discipline, grade, tool use, and proficiency, with formal training increasing literacy.

Qualitative study of German consulting firms examining how Task-GenAI Fit framework balances generative AI efficiency gains against risks like hallucinations and skill loss.

Study reveals how gender differences in help-seeking behavior affect medical residency matching outcomes, showing men seek more independent advice about algorithms than women, leading to better.

Review examining social dimensions of HIV public health data systems, conceptual frameworks for ethical practice, and governance concerns for marginalized populations.

AI and SAR integration enhances Brazilian Air Force Amazonian surveillance, improving territorial governance and sovereignty through automated imagery analysis and anomaly detection.

Study examines how major AI companies implement guardrails as sociotechnical control mechanisms, revealing how code and language jointly regulate discourse in large language models.

Explores how predictive AI in judicial decision-making operates within legal indeterminacy rather than eliminating it, examining theoretical limits and practical constraints of machine learning in.

EU AI Act's regulatory framework addresses environmental impacts only indirectly through procedural mechanisms, leaving significant gaps in addressing lifecycle environmental risks from.

Research develops interactive learning interventions for informal settings to address the public literacy gap in understanding generative AI's socio-technical risks and benefits.