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AI safety evaluationTechCrunch
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85% Informative
A new study by the Ada Lovelace Institute found that today ’s tests and benchmarks may fall short.
Generative AI models are coming under increased scrutiny for their tendency to make mistakes and behave unpredictably.
The study found sharp disagreement within the AI industry on the best set of methods and taxonomy for evaluating models.
It also found problems with “red-teaming” the practice of tasking individuals with attacking” a model to identify vulnerabilities and flaws.
An ALI study found that evaluating AI models for safety is an intractable’ problem.
The study suggests that governments must mandate more public participation in the development of evaluations.
But there may never be a guarantee that a model’s safe, says Mahi Hardalupas .
VR Score
90
Informative language
91
Neutral language
62
Article tone
informal
Language
English
Language complexity
67
Offensive language
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Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
2
Source diversity
2
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