Page 5: 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 chiefs walk back job apocalypse warnings

The most prominent figures in artificial intelligence are stepping back from dire predictions about mass unemployment, as the industry faces growing public hostility over AI's promised transformation of the workplace.

Machine learning & AI

How transparent is AI in the workplace and in recruitment?

As artificial intelligence continues to transform recruitment and workplace practices, questions around transparency, fairness, and trust are becoming increasingly urgent. A new article sheds light on how workers and job ...

Security

AI fails to make inroads with cybercriminals, study finds

Cybercriminals have been struggling to adopt AI in their work, reports the first-of-its-kind study that analyzed a dataset of 100 million posts from underground cybercrime communities. The study is published on the arXiv ...

Machine learning & AI

New report looks at how AI is impacting software development

Generative AI tools are rapidly transforming how software is built—and raising new risks in the process, according to a new TechBrief from the Association for Computing Machinery's Technology Policy Council (TPC) on the rise ...

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