MIT releases a database of 700+ unique AI risks, based on 43 existing taxonomies, including peer-reviewed articles, preprints, conference papers, and reports (Ben Dickson/VentureBeat)

Ben Dickson / VentureBeat: MIT releases a database of 700+ unique AI risks, based on 43 existing taxonomies, including peer-reviewed articles, preprints, conference papers, and reports  —  As research and adoption of artificial intelligence continue to advance at an accelerating pace, so do the risks associated with using AI.

MIT releases a database of 700+ unique AI risks, based on 43 existing taxonomies, including peer-reviewed articles, preprints, conference papers, and reports (Ben Dickson/VentureBeat)

Ben Dickson / VentureBeat:
MIT releases a database of 700+ unique AI risks, based on 43 existing taxonomies, including peer-reviewed articles, preprints, conference papers, and reports  —  As research and adoption of artificial intelligence continue to advance at an accelerating pace, so do the risks associated with using AI.

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