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One example is, Bing presents links to suicide prevention resources whenever a user’s question expresses a attainable suicide intent. Microsoft Bing also supplies warning notices on selected URLs showing in search engine results in which it has trustworthy details the url contains quite possibly unsafe information.
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Evaluate Red team tests and worry-tests can area scenarios of unique risks, but in production users may have numerous queries in Bing with various levels of lookup intent. To better comprehend and address the potential for threats in Bing’s generative AI ordeals, we formulated metrics to measure prospective threat of damaging content material becoming shown to users. The metrics are useful for new element evaluation like a Portion of Responsible AI assessments and ongoing checking for functions submit launch. We also enabled measurement at scale by partially automated measurement pipelines. Every time the merchandise adjustments, existing mitigations are current, or new mitigations are proposed, we update our measurement pipelines to assess both products effectiveness along with the responsible AI metrics. Our measurement pipelines help us to promptly execute measurement for possible threats at scale. As we establish new concerns through the preview interval and ongoing crimson crew tests, we continue on to increase the measurement sets to evaluate added risks. Mitigate As we determined prospective risks and misuse by processes like purple group screening and tension-tests and measured them Along with the progressive strategies described higher than, we designed additional mitigations to People used for traditional research. Below, we explain some of All those mitigations. We're going to keep on monitoring the generative AI encounters in Bing to further improve item effectiveness and mitigations. Phased release, continual evaluation. We've been committed to Finding out and improving our accountable AI tactic continuously as our technologies and person actions evolve. Our incremental release approach has long website been a core Section of how we shift our technology safely and securely with the labs into the world, and we’re devoted to a deliberate, considerate system to secure the main advantages of generative AI features in Bing. We're often earning modifications to generative AI functions in Bing to boost products performance, boost current mitigations, and carry out new mitigations in reaction to our learnings during the preview time period.