Copilot data, privacy and security
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Hate and fairness-related harms refer to any content that uses pejorative or discriminatory language based on attributes like race, ethnicity, nationality, gender identity and expression, sexual orientation, religion, immigration status, ability status, personal appearance, and body size. Fairness is concerned with making sure that AI systems treat all groups of people equitably without contributing to existing societal inequities. Sexual content involves discussions about human reproductive organs, romantic relationships, acts portrayed in erotic or affectionate terms, pregnancy, physical sexual acts, including those portrayed as an assault or a forced act of sexual violence, prostitution, pornography, and abuse. Violence describes language related to physical actions that are intended to harm or kill, including actions, weapons, and related entities. Self-harm language refers to deliberate actions that are intended to injure or kill oneself.
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+In addition to content filtering provided by the Azure OpenAI Service, certain Microsoft 365 Copilot scenarios provide other mitigations, such as filters to help prevent workplace harms from happening. Workplace harms refers to a category of harms that can result from generative AI or models making inferences, judgments, or evaluations about an employee based on their workplace communication. Currently, that means inferences, judgments, or evaluations about an employee's performance, attitude, internal or emotional state, or personal characteristics. We restrict the use of generative AI or models from being used for these purposes.
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### Does Copilot provide protected material detection?
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Yes, Microsoft 365 Copilot provides detection for protected materials, which includes text subject to copyright and code subject to licensing restrictions. This detection may not be available in all Microsoft 365 Copilot scenarios, and not all of these mitigations are relevant for all Microsoft 365 Copilot scenarios.
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