Page 2: Research news on Artificial intelligence labor economics

Artificial intelligence labor economics examines how the diffusion of AI and related automation technologies alters employment, job content, and wage structures across sectors and occupations. The field quantifies task-level exposure to AI, heterogeneous productivity effects, and resulting patterns of job displacement, creation, and reorganization, including impacts on entry-level roles, creative and professional work, and gender or skill-based pay gaps. It also studies adoption dynamics, governance and organizational challenges, and emerging social and geographic divides in AI use and benefits.

Machine learning & AI

AI giants pursue self-regulation as safety fears mount

The world's biggest AI companies are working to create a standards body, ChatGPT maker OpenAI said Tuesday, as fears rise about the dangers of AI and pressure mounts to create a safer version of the technology.

Machine learning & AI

Slow the AI race? Investors weigh the potential cost

Calls to rein in the development of ever more powerful AI models are fueling fears over the massive capital outlays in the sector—and the prospect that profits from the promised revolution might not be enough to cover them.

Robotics

Robots protest rampant AI in Poland

Waving flags, "chanting" slogans and marching in circles, around 30 robots took to the streets of Warsaw on Monday to campaign for AI regulation in front of the Polish digital affairs ministry.

Telecom

A roadmap for agentic 7G AI-powered wireless networks

A research team from the Hong Kong University of Science and Technology (HKUST) proposed a new Reasoning-Empowered Task-Oriented Communication (TOC) framework that enables AI agents to determine what information to share, ...

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