New framework addresses privacy, dignity risks posed by modern ai systems
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Updates every hour. Last Updated: 2-Apr-2026 17:15 ET (2-Apr-2026 21:15 GMT/UTC)
Using a new model to study hydroxyl radicals (OH) — known as the “atmosphere’s detergent” for their ability to break down the powerful greenhouse gas methane — MIT scientists found a warming climate could lead to a modest increase in OH levels.
A new study evaluates how different three-dimensional crustal velocity models influence strong ground motion simulations in the seismically active Sichuan–Yunnan region of southwest China. Using the 2022 Mw 6.6 Luding earthquake as a case study, researchers compared ground motion predictions from nine representative velocity models based on peak ground velocity (PGV), a key engineering parameter. The results show that different models can systematically overestimate or underestimate shaking intensity, while averaging results from multiple models significantly improves prediction stability. The findings provide practical guidance for post-earthquake ground motion assessment and seismic hazard mitigation.
Scientists have pinpointed, for the first time, exactly when key oil- and gas-forming rocks developed in northwest China. By precisely dating tiny zircon crystals preserved in ancient volcanic ash, researchers built a high-resolution timeline for Carboniferous–Permian source rocks in the Junggar Basin and nearby regions. The study shows that these source rocks formed during three distinct time windows and that the shift from marine to land-based environments occurred at different times across the region. These findings resolve long-standing geological debates, support a step-by-step, “scissor-like” closure of the Paleo-Asian Ocean, and provide a crucial time guide for future energy exploration.
Digital Planet at The Fletcher School at Tufts University launches the American AI Jobs Risk Index, the first comprehensive framework ranking U.S. occupations, industries, metro areas, and states by their actual vulnerability — not just exposure — to AI-driven job displacement. The Index projects that 9.3 million jobs are at risk over the next 2–5 years, representing up to $757 billion in annual household income. Silicon Valley, the birthplace of AI, faces the highest displacement of any major metro. High-skill, high-income knowledge workers — writers, programmers, analysts — are at greatest risk. This has implications for local economies but will also have ground-shifting political consequences. The window for making preparations and pre-emptive action is narrow. Learn what can be done to anticipate and head off an economic and political disruption.