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Copy file name to clipboardExpand all lines: articles/ai-services/content-safety/quickstart-protected-material.md
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## User Scenarios
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### 1. Content Generation Platforms for Creative Writing
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## User scenarios
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### 1. Content generation platforms for creative writing
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- Scenario: A content generation platform that uses GenAI for creative writing (e.g., blog posts, stories, marketing copy) integrates the "Protected Material for Text" feature to prevent the generation of content that closely matches known copyrighted material.
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- User: Platform administrators and content creators.
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- Action: The platform uses Azure AI Content Safety to scan AI-generated content before it is provided to users. If the generated text matches protected material, the content is flagged and either blocked or revised.
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- Outcome: The platform avoids potential copyright infringements and ensures that all generated content is original and compliant with intellectual property laws.
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### 2. Automated Social Media Content Creation
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### 2. Automated social media content creation
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- Scenario: A digital marketing agency uses GenAI to automate social media content creation. The agency integrates the "Protected Material for Text" feature to avoid publishing AI-generated content that includes copyrighted text, such as song lyrics or excerpts from books.
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- User: Digital marketers and social media managers.
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- Action: The agency employs Azure AI Content Safety to check all AI-generated social media content for matches against a database of protected material. Content that matches is flagged for revision or blocked from posting.
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- Outcome: The agency maintains compliance with copyright laws and avoids reputational risks associated with posting unauthorized content.
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### 3. AI-Assisted News Writing
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### 3. AI-assisted news writing
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- Scenario: A news outlet uses GenAI to assist journalists in drafting articles and reports. To ensure the content does not unintentionally replicate protected news articles or other copyrighted material, the outlet uses the "Protected Material for Text" feature.
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- User: Journalists, editors, and compliance officers.
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- Action: The news outlet integrates Azure AI Content Safety into its content creation workflow. AI-generated drafts are automatically scanned for protected content before submission for editorial review.
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- Outcome: The news outlet prevents accidental copyright violations and maintains the integrity and originality of its reporting.
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### 4. E-learning Platforms Using AI for Content Generation
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### 4. E-learning platforms using AI for content generation
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- Scenario: An e-learning platform employs GenAI to generate educational content, such as summaries, quizzes, and explanatory text. The platform uses the "Protected Material for Text" feature to ensure the generated content does not include protected material from textbooks, articles, or academic papers.
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- User: Educational content creators and compliance officers.
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- Action: The platform integrates the feature to scan AI-generated educational materials. If any content matches known protected academic material, it is flagged for revision or automatically removed.
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- Outcome: The platform maintains educational content quality and complies with copyright laws, avoiding the use of protected material in AI-generated learning resources.
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### 5. AI-Powered Recipe Generators
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### 5. AI-powered recipe generators
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- Scenario: A food and recipe website uses GenAI to generate new recipes based on user preferences. To avoid generating content that matches protected recipes from famous cookbooks or websites, the website integrates the "Protected Material for Text" feature.
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- User: Content managers and platform administrators.
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- Action: The website uses Azure AI Content Safety to check AI-generated recipes against a database of known protected content. If a generated recipe matches a protected one, it is flagged and revised or blocked.
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