“We start by teaching our AI right from wrong, filtering harmful content and responding with empathy.”
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Characterizing filtering as part of teaching the AI 'right from wrong' establishes that harmful content controls are embedded in the model's foundational training, not only applied at the surface level.
Interpretive note: The excerpt is informal and figurative ('teaching our AI right from wrong'). The phrase describes a process but does not specify scope, methodology, or enforceability. The canonical claim captures the primary proposition; the empathy element is noted in omitted_material as a secondary but co-equal stated objective.
Users interact with AI systems that have been trained to filter harmful content and respond with empathy before reaching them.
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The Services include safety features to block harmful content, such as content that violates our Prohibited Use Policy.
If we become aware that any Third-Party Content (1) infringes another’s copyright or any other intellectual property or related or neighboring right, (2) is in breach of these Terms or our Acceptable Use Policy, or (3) may cause harm to Anthropic, our users, or third parties, we reserve the right to...
You agree that Your Content will not: be unlawful, harmful to adults or minors, threatening, abusive, harassing, tortious, defamatory, vulgar, obscene, profane, offensive, invasive of another's privacy, hateful...
"We start by teaching our AI right from wrong, filtering harmful content and responding with empathy.Excerpt from OpenAI's Safety Overview
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Characterizing filtering as part of teaching the AI 'right from wrong' establishes that harmful content controls are embedded in the model's foundational training, not only applied at the surface level.
Users interact with AI systems that have been trained to filter harmful content and respond with empathy before reaching them.
ConductAtlas has identified this type of provision across 139 platforms. See the full comparison.
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