AI-based classifiers and metaprompting to mitigate potential dangers or misuse. The use of LLMs may possibly generate problematic written content that might bring about dangers or misuse. Examples could include things like output associated with self-damage, violence, graphic articles, intellectual residence, inaccurate facts, hateful speech, or text that could relate to unlawful activities. Classifiers and metaprompting are two examples of mitigations that were implemented in Copilot in Bing to help you reduce the chance of these kinds of articles. Classifiers classify textual content to flag differing types of potentially destructive material in lookup queries, chat prompts, or created responses.
Boy or girl sexual exploitation and assault imagery and connected elements The output and distribution of, and usage of, kid sexual abuse products is universally condemned and unlawful in most jurisdictions. It is also a violation of Bing and Microsoft guidelines. Bing functions with 3rd party technology and marketplace groups, legislation enforcement, and governmental and non-governmental businesses to help you end the spread of this horrific articles on the internet.
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