Researchers May Have Found a Way to Stop AI Models From Intentionally Playing Dumb During Safety Evaluations
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Researchers may have found a way to stop AI models from intentionally playing dumb during safety evaluations
A study by researchers from the MATS program, Redwood Research, the University of Oxford, and Anthropic examines a safety problem that grows more pressing as AI systems become more capable: "sandbagging," where a model deliberately hides its true abilities and delivers work that looks adequate but is intentionally subpar. The article Researchers may have found a way to stop AI models from intentionally playing dumb during safety evaluations appe…
A study by researchers from the MATS program, Redwood Research and Anthropic investigates a safety problem that becomes more relevant with ever more capable AI systems: so-called "sandbagging", in which a model deliberately restrains its true abilities and delivers seemingly adequate, but below-average work.The article Because AI models deliberately work badly: researchers look for ways out of the sandbagging trap first appeared on The Decoder.
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