AI boosts employee work experiences
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Jun-2025 18:10 ET (27-Jun-2025 22:10 GMT/UTC)
A new paper in the Quarterly Journal of Economics shows customer service workers using artificial intelligence assistance become more productive and work faster. The effects vary significantly, however. Less experienced and lower-skilled employees improve both the speed and quality of their work, while the most experienced and highest-skilled workers see small gains in speed and small declines in quality. The researchers also found that AI assistance can help worker learning and improve English fluency, particularly for international workers.
International collaborative research led by Aakash Project* researchers at the Research Institute for Humanity and Nature (RIHN) show an unequivocal contribution of crop residue burning (CRB) to air pollution in the rural/semi-urban regions of Punjab and Haryana, and a relatively lower contribution than previously thought to the Delhi national capital region (NCR). We have installed 30 units of compact and useful PM2.5** in situ instrument with gas sensors (CUPI-Gs) and have continuously recorded air pollutants in 2022 and 2023. New analytical methods have been developed to assess and predict the formation and transport of air pollutants due to emissions from CRB.
A new company launched by Hertz Fellow Ruby Lai aims to develop a sustainable, low-energy, low-cost toilet system that reuses flushwater and requires no sewer system.
A new platform for studying neuroinflammatory diseases, utilizing advanced 3D bioprinting technology was developed by POSTECH in collaboration with Seoul National University Hospital.
Generative AI, a technology that is developing at breakneck speed, may carry hidden risks that could erode public trust and democratic values, according to a study led by the University of East Anglia (UEA).
The research showed that ChatGPT exhibits biases in both text and image outputs — leaning toward left-wing political values — raising questions about fairness and accountability in its design.