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MIT just launched a new database tracking the biggest AI risks
MIT is tracking the potential dangers posed by AI — and has found that most adoption frameworks designed to boost safe use of the technology are missing out on key risks. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have joined forces with colleagues at University of Queensland, Future of Life Institute, KU Leuven, and Harmony Intelligence to…
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MIT delivers database containing 700+ risks associated with AI
However, researchers noted in the FAQ that the Repository does have several limitations, including being limited to risks from the 43 taxonomies, so it “may be missing emerging, domain-specific risks, and unpublished risks, and has potential for errors and subject bias; we used a single expert reviewer for extraction and coding.” Despite those shortcomings, the MIT Technology Review article stated…
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