MIT expert study warns of 18 catastrophic AI risks with at least 10% chance of harm before 2030
By
Luis Rijo
Summary
A June 2026 MIT FutureTech and MIT AI Risk Initiative study surveyed 272 experts from 37 countries to rank AI risks that could cause catastrophic harm before 2030. The study identified 18 risk categories, including power grabs and environmental damage, with at least a 10% chance of catastrophic outcomes. The research argues that the debate has focused too much on science-fiction scenarios while slower, structural harms accumulate, and warns that the window to prevent the worst outcomes is narrowing rapidly.
Source
bskyMIT expert study warns of 18 catastrophic AI risks with at least 10% chance of harm before 2030ppc.landKey quotes
· 3 pulledThe machines are running, the data centers are warming the ground beneath them, and a major new study says the window to stop the worst outcomes is narrowing fast.
What they found should change the terms of a debate that has spent too long fixating on science-fiction scenarios while slower, structural harms accumulate.
272 researchers, policymakers, and technologists from 37 countries to rank the AI risks that could cause the most damage to human society and the natural world before 2030.
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