Acceptable Use Policy

This Acceptable Use Policy ("AUP") governs your use of the GreatLibrary.AI platform and services operated by Alexandria AI Systems. By using our Service, you agree to comply with this policy. Violations may result in suspension or termination of your account without refund.

1. General Principles

GreatLibrary.AI is designed to help users create valuable, meaningful content. We expect all users to:

• Use the Service responsibly and ethically
• Respect the rights of others
• Comply with all applicable laws and regulations
• Not attempt to harm, deceive, or exploit others
• Take responsibility for the content they create and publish

2. Prohibited Content

You may NOT use GreatLibrary.AI to create, generate, store, or distribute the following types of content:

3. Permitted Use

GreatLibrary.AI is designed for legitimate creative and educational purposes:

4. AI Content Responsibility

When using AI-generated content, you agree to:

• Review all content before publication for accuracy and appropriateness
• Fact-check claims made in AI-generated content
• Disclose AI involvement where required by law, platform policies, or ethical standards
• Not misrepresent AI-generated content as human-written when disclosure is required
• Accept responsibility for all content you publish, regardless of how it was generated

4a. AI-Specific Usage Guidelines

Because GreatLibrary.AI is an AI-powered platform, the following additional guidelines apply specifically to AI-generated content:

4a.1 Prohibited AI Uses

• Prompt injection attacks: Attempting to manipulate AI systems through adversarial prompts designed to bypass safety filters, extract system instructions, or cause unintended behavior is prohibited
• Automated disinformation: Using the platform to mass-produce false or misleading content for distribution across social media, news outlets, or other platforms
• Synthetic identity creation: Generating realistic biographical content, fake credentials, or fabricated testimonials intended to create false identities or impersonate real people
• Circumventing AI safety measures: Deliberately crafting prompts to cause the AI to produce prohibited content that it would otherwise refuse to generate
• Model extraction: Systematically querying the platform to reverse-engineer, replicate, or extract the underlying AI models or their training data

4a.2 Responsible AI Disclosure

• Where you publish AI-generated content, you should disclose AI involvement when required by applicable law, publisher guidelines, or platform policies of the distribution channel
• You must not represent AI-generated content as exclusively human-authored in contexts where such misrepresentation would violate applicable regulations (for example, the EU AI Act transparency requirements for AI-generated content)
• When selling AI-generated books on the storefront, accurate disclosure of AI involvement in the book description is strongly encouraged and may be required in certain jurisdictions

4a.2a EU AI Act Compliance (Regulation (EU) 2024/1689)

GreatLibrary.AI operates as a deployer of general-purpose AI systems under the EU AI Act. In accordance with the Act's transparency obligations:

• Disclosure of AI-generated content: All text and images produced through our platform are generated by AI systems. Users distributing AI-generated content in the EU must ensure that the content is clearly marked as artificially generated or manipulated, as required by Article 50(2) of the EU AI Act
• Provider information: The AI models used by our platform are provided by OpenAI (GPT-4o, GPT-4o-mini, gpt-image-1, DALL-E 3), Google (Gemini via Vertex AI), and Microsoft (DeepSeek via Azure AI Foundry). These providers are responsible for their own AI Act compliance obligations as providers of general-purpose AI models
• Prohibited practices: We do not use AI for any of the prohibited practices listed in Article 5 of the EU AI Act, including subliminal manipulation, exploitation of vulnerabilities, social scoring, or real-time biometric identification
• Risk management: We monitor the AI outputs generated through our platform and maintain processes to address content that may pose risks to health, safety, or fundamental rights

4a.3 AI Output Limitations

Users acknowledge that AI-generated content is probabilistic in nature. You must not:

• Present AI-generated medical, legal, financial, or safety-critical content as professional advice without independent expert review
• Use AI-generated content in regulatory filings, court documents, or official submissions without human verification and appropriate professional oversight
• Rely on AI-generated citations, references, or quotations without independently verifying their accuracy, as AI systems may generate plausible but fabricated references

4a.4 Synthetic Media and Deepfake Restrictions

In accordance with the EU AI Act Article 50(4) and emerging international standards on synthetic media, the following restrictions apply to AI-generated images and content produced through GreatLibrary.AI:

• No realistic depictions of real individuals: You must not use AI image generation to create realistic images of identifiable real people without their explicit, documented consent. This includes public figures, celebrities, politicians, and private individuals
• No deceptive synthetic media: Content designed to deceive viewers into believing it depicts real events, real people, or real places when it does not is prohibited. This includes creating fake news images, fabricated documentary evidence, or misleading historical depictions
• Labeling obligation: If you distribute AI-generated images created through our platform that could reasonably be mistaken for photographs or authentic recordings, you must label them as AI-generated. Under the EU AI Act Article 50(4), persons deploying an AI system that generates or manipulates image, audio, or video content that constitutes a deep fake shall disclose that the content has been artificially generated or manipulated
• Artistic and satirical exceptions: These restrictions do not prohibit clearly fictional, artistic, or satirical content where no reasonable person would mistake the content for an authentic depiction. However, you remain responsible for ensuring your use complies with applicable law in your jurisdiction
• Cover art clarification: AI-generated book cover art is not subject to the deepfake labeling requirement when used as cover art, as book covers are understood to be designed artwork rather than documentary images. However, cover art must still not depict identifiable real individuals without consent

4b. AI Ethics Principles for Content Generation

GreatLibrary.AI adheres to the following ethical principles when providing AI content generation services. These principles are informed by the OECD AI Principles, the EU AI Act, and the UNESCO Recommendation on the Ethics of Artificial Intelligence.

AI ethics principles governing content generation on the platform

Principle	Our Commitment	Your Responsibility
Human oversight	AI generates drafts; final editorial decisions always rest with the human user. We do not auto-publish AI output	Review all AI-generated content before publication. You are the editor and publisher of your work
Transparency	We disclose which AI models power each feature (see Terms of Service Section 6.3a). We do not disguise AI output as human-written	Disclose AI involvement when required by law or publishing standards. Do not misrepresent AI content as exclusively human-authored
Fairness and non-discrimination	We rely on AI providers that implement bias mitigation. We do not train or fine-tune models on user data	Review AI output for unintended bias, stereotypes, or culturally insensitive content before publication
Privacy and data protection	User prompts are processed transiently and not used for AI training. See Privacy Policy Sections 3 and 14g	Do not include real individuals' private information in prompts without their consent
Safety	AI provider safety filters block generation of harmful content categories (violence instructions, CSAM, etc.)	Do not attempt to circumvent safety filters. Report any harmful output to abuse@greatlibrary.ai
Accountability	We maintain audit logs of AI operations and respond to complaints about AI-generated content within our enforcement timelines	You are legally responsible for the content you publish, regardless of whether it was AI-generated

Ethical concern reporting: If you believe AI-generated content on our platform raises ethical concerns (bias, misinformation, harmful stereotypes), please report it to ethics@greatlibrary.ai. We review all ethical concern reports and may update our AI guardrails in response.

5. Storefront Content Standards

If you use the storefront feature to sell books, additional standards apply:

• Accurate descriptions: Book descriptions, titles, and metadata must accurately represent the content. Misleading or deceptive descriptions are prohibited
• Original or licensed content: You may only sell content you own or have proper rights to distribute. Selling pirated, plagiarized, or unauthorized copies of others' works is strictly prohibited
• AI disclosure: If your book was substantially generated using AI, you should disclose this in the book description where required by applicable platform policies or law
• Pricing fairness: Pricing must be reasonable and not designed to deceive buyers (for example, listing a very short AI-generated text at an unreasonably high price with misleading descriptions)
• No manipulation: You may not manipulate reviews, ratings, or sales metrics through fake purchases, automated means, or coordinated manipulation

5a. Content Rating and Classification

To maintain a safe and appropriate storefront experience, content published on the GreatLibrary.AI storefront should be classified by the author according to the following content rating system:

Content rating classifications and their criteria for published ebooks

Rating	Description	Examples
General	Suitable for all audiences, including children and young adults	Children's books, educational content, family-friendly fiction
Teen+	Suitable for ages 13 and older. May contain mild language, mild violence, or romantic themes	Young adult fiction, general non-fiction, self-help
Mature	Intended for adults. May contain strong language, violence, or sexual themes	Adult fiction, true crime, explicit non-fiction

Failure to accurately rate content may result in the content being reclassified by our moderation team, or removal from the storefront. We reserve the right to restrict the visibility of mature-rated content in search results and recommendations to protect younger users.

6. System Abuse

You may NOT:

• Attempt to bypass content filters or safety systems
• Use automated tools to access the Service beyond normal use
• Attempt to extract, scrape, or harvest data from the Service
• Interfere with or disrupt the Service or servers
• Attempt to gain unauthorized access to systems or accounts
• Share account credentials or API access with unauthorized parties
• Probe, scan, or test the vulnerability of the Service
• Circumvent usage limits or quotas
• Reverse engineer, decompile, or disassemble the Service

6.1 Rate Limits and Resource Usage

To ensure fair access for all users and protect the stability of the Service, the following usage guidelines apply:

Resource usage limits for Free, Pro, and Enterprise subscription tiers

Resource	Free Tier	Pro Tier	Enterprise Tier
Chapters per book	10	50	100
Cover generation	Not available	Included	Included (priority)
API rate limit	Standard	Elevated	Custom

Exceeding rate limits results in temporary throttling (HTTP 429 responses). Persistent or deliberate attempts to circumvent rate limits may result in account suspension under Section 8.2.

6.2 API Abuse

Access to GreatLibrary.AI's features is provided through our web application and internal APIs. The following constitute API abuse and are strictly prohibited:

• Unauthorized API access: Accessing internal API endpoints through means other than the official GreatLibrary.AI web interface, unless explicitly authorized in writing
• Credential sharing: Sharing, selling, or distributing your account credentials, session tokens, or any form of API access with third parties
• Token harvesting: Attempting to extract, intercept, or reuse authentication tokens, session identifiers, or API keys
• Request manipulation: Modifying API requests to bypass validation, circumvent usage limits, or access features not included in your subscription tier
• Bulk automation: Using scripts, bots, or automated tools to generate content at scale beyond normal individual use, unless you hold an Enterprise subscription with explicit written authorization for automated workflows
• Denial-of-service: Flooding API endpoints with requests intended to degrade service performance for other users or overwhelm platform resources
• Cost evasion: Exploiting free tier limits, trial periods, or promotional offers through multiple accounts or other deceptive means to avoid paying for service usage

Suspected API abuse will be investigated and may result in immediate account suspension. See Section 8 (Enforcement) for the full range of consequences.

6.3 Automated Scraping and Data Harvesting

Automated extraction of data from GreatLibrary.AI is prohibited except as expressly permitted below:

• Prohibited: Crawling, scraping, or programmatically downloading content from the public library, storefront, user profiles, or any part of the platform using automated tools (including but not limited to web scrapers, spiders, bots, browser automation scripts, or headless browsers)
• Prohibited: Harvesting user data, email addresses, usernames, or any personal information from the platform for any purpose
• Prohibited: Mirroring, caching, or reproducing substantial portions of the platform's content on external servers or services
• Prohibited: Using the platform's output as training data for competing AI services or machine learning models without explicit written permission
• Permitted: Downloading your own content through the official export features (PDF, EPUB, DOCX, etc.) provided in the application
• Permitted: Using the account data export feature under Terms of Service Section 11b for data portability purposes
• Permitted: Standard search engine indexing of publicly accessible pages (robots.txt directives must be respected)

We employ technical measures (rate limiting, bot detection, CAPTCHA challenges) to detect and prevent automated scraping. Circumventing these measures is a violation of this policy and may also violate the Computer Fraud and Abuse Act (CFAA) and similar laws in your jurisdiction.

6.4 Resale and Redistribution of AI-Generated Content

GreatLibrary.AI grants users rights to use AI-generated content as described in the Terms of Service Section 5 (Content Ownership and Rights). The following restrictions apply to the resale and redistribution of content generated through the platform:

• Permitted: Selling completed ebooks that you have created, reviewed, and edited through the GreatLibrary.AI platform, including through our built-in storefront or external retailers (Amazon KDP, etc.)
• Permitted: Using AI-generated content as a starting point for derivative works that incorporate substantial original creative contribution
• Prohibited: Mass-producing AI-generated content with minimal or no human review, editing, or creative input for the sole purpose of resale at volume (content farming)
• Prohibited: Reselling raw, unedited AI outputs as finished products without meaningful human contribution (such as generating dozens of books per day without review)
• Prohibited: Reselling or sublicensing access to the GreatLibrary.AI platform itself, or offering AI-generated content creation as a service using your GreatLibrary.AI account on behalf of third parties without an Enterprise agreement
• Prohibited: Systematically generating cover art or images to sell as standalone assets (stock images, clip art, design templates) rather than as components of complete ebooks
• Prohibited: Misrepresenting the nature of AI-generated content to buyers (for example, advertising a book as "hand-written" or "personally authored" when it is predominantly AI-generated without disclosure)

We reserve the right to investigate accounts exhibiting patterns of content farming and to suspend or terminate accounts that violate these restrictions. If you are unsure whether a specific use case is permitted, contact support@greatlibrary.ai before proceeding.

6.5 Fair Use and Resource Allocation Policy

To ensure equitable access to platform resources for all users, the following fair use principles apply in addition to the hard rate limits documented in Section 6.1:

Fair use thresholds and consequences for each resource type

Resource	Fair Use Threshold	What Happens If Exceeded
AI text generation requests	Reasonable individual use patterns (sustained generation consistent with active book authoring)	Temporary throttling to protect service quality. We will notify you before any account-level action
AI image generation requests	Cover and illustration generation consistent with ebook creation (not standalone image generation at scale)	Requests may be queued during peak periods. Priority given to Pro and Enterprise subscribers
Storage (ebooks, covers, exports)	Reasonable storage for actively maintained ebook projects	We may contact users with unusually large storage footprints to discuss archival or cleanup
Export bandwidth	Normal download patterns for personal or business use of your own content	Bulk automated downloads may be temporarily throttled
Concurrent sessions	Up to 5 simultaneous active sessions per account	Oldest session automatically terminated when limit exceeded

No surprise terminations: We will not terminate your account solely for exceeding fair use thresholds without first (a) notifying you of the issue, (b) providing a reasonable opportunity to reduce usage, and (c) offering a path to an upgraded plan if your usage genuinely requires higher limits. This does not apply to abuse, fraud, or violations of other sections of this policy, where immediate action may be warranted.

Enterprise exceptions: Enterprise subscribers may negotiate custom fair use thresholds as part of their service agreement. Contact enterprise@greatlibrary.ai for details.

7. Reporting Violations

If you encounter content that violates this policy, please report it to:

• Email: abuse@greatlibrary.ai
• Subject Line: AUP Violation Report -- [Category]

Please include the following information in your report:

• Description of the violation: What content or behavior violates this policy
• Category: Which section of this policy is being violated (e.g., Hate Speech, CSAM, Spam)
• Location of the content: URL, book title, author name, or other identifying information
• Evidence: Screenshots, links, or other documentation supporting your report
• Your contact information: Name and email address for follow-up
• Urgency level: Whether you believe this involves immediate danger or harm to individuals

7.1 Trusted Reporter Program

In accordance with the EU Digital Services Act (Article 22), we may establish a Trusted Flagger / Trusted Reporter program for organizations that demonstrate particular expertise in identifying certain types of illegal or harmful content. Trusted Reporters' submissions will receive priority review. Organizations interested in becoming Trusted Reporters may apply by contacting legal@greatlibrary.ai.

7.2 Anonymous Reporting

You may submit reports anonymously. However, please note that anonymous reports may be more difficult to investigate, and we will not be able to notify you of the outcome. We encourage providing at least an email address so we can request additional information if needed.

7.3 Protection Against Retaliation

We prohibit retaliation against users who report violations in good faith. If you believe you have experienced retaliation for filing a report, please contact appeals@greatlibrary.ai immediately.

8. Enforcement

8.1 Investigation

We may investigate potential violations and take appropriate action at our sole discretion. We may review user content and account activity when we have reason to believe a violation has occurred.

Our investigation process follows these timelines:

• Acknowledgment: Reports are acknowledged within 2 business days of receipt
• Initial review: Reports are triaged within 3 business days to assess severity and determine appropriate action
• Resolution: Standard violations are resolved within 10 business days. The reporting party will be notified of the outcome
• Urgent matters: Reports involving child safety, credible violence threats, or terrorism are escalated immediately and may be reported to law enforcement within 24 hours

8.1a Enforcement Timeline Summary

The following table provides a complete view of enforcement timelines, from initial report through resolution and appeal. All timelines are measured in business days (Monday through Friday, excluding public holidays).

If we are unable to meet these timelines due to the complexity of a case or external factors (such as awaiting law enforcement guidance), we will notify the reporter of the delay and provide an updated estimated resolution date.

8.2 Consequences

Violations of this policy may result in:

• Warning: For minor or first-time violations
• Content removal: Deletion of violating content
• Temporary suspension: Account access suspended for a period
• Permanent termination: Account permanently banned without refund
• Legal action: Reporting to law enforcement or pursuing legal remedies

8.2a Violation Severity Matrix

The following matrix defines how we classify violations and the corresponding enforcement actions. This framework ensures consistency and proportionality in our enforcement decisions.

Aggravating factors that may increase severity classification: commercial motivation, targeting vulnerable populations, deliberate evasion of prior enforcement, or coordinated abuse campaigns.

Mitigating factors that may decrease severity classification: good-faith mistake, immediate corrective action, cooperation with investigation, or first-time user unfamiliar with policies.

8.2b Community Guidelines Reference

This Acceptable Use Policy works in conjunction with the Community Guidelines defined in our Terms of Service (Section 18g). The Community Guidelines set standards for content published through public-facing features (the library and storefront), while this policy covers all use of the platform.

Key relationships between these policies:

• Public content: Content published to the library or storefront must comply with both the Community Guidelines and this Acceptable Use Policy
• Private content: Ebooks and materials kept private need only comply with this Acceptable Use Policy (broader scope)
• Enforcement overlap: A single violation may trigger enforcement under both policies. In such cases, the more protective standard applies
• Appeals: The appeal process described in Section 8a below applies to enforcement actions under both policies

8.3 Appeals

If you believe your account was wrongly suspended or terminated, you may appeal by contacting appeals@greatlibrary.ai within 14 days. Your appeal should include:

• Your account email address
• The date of the suspension or termination
• A detailed explanation of why you believe the decision was made in error
• Any supporting evidence or context

We will acknowledge receipt of your appeal within 3 business days and provide a substantive response within 15 business days. Appeals are reviewed by a different staff member than the one who made the original enforcement decision. While we take all appeals seriously, we are not obligated to reverse decisions.

EU Digital Services Act (DSA) users: If you are located in the EU, you additionally have the right to refer a dispute arising from an enforcement decision to a certified out-of-court dispute settlement body, as provided by DSA Article 21. You may also lodge a complaint with the Digital Services Coordinator in your member state.

8.4 Enforcement Data Retention

When we take enforcement action against content or accounts, we retain the following records:

• Reports and complaints: Retained for 3 years from the date of resolution for legal compliance and to support repeat infringer detection
• Enforcement decisions: The nature of the violation, the action taken, and the date are retained for 3 years
• Removed content: Content removed for policy violations may be retained in a restricted archive for up to 90 days in case of appeal or legal proceedings, after which it is permanently deleted
• Appeal records: Appeal submissions and outcomes are retained for 3 years
• User notification records: Records of notifications sent to affected users are retained for 3 years

This retention is necessary for our legitimate interest in maintaining platform safety, complying with legal obligations (including the EU Digital Services Act), and supporting the repeat infringer policy described in our DMCA Policy.

8.5 Transparency

We are committed to transparency in our enforcement actions. We will publish annual transparency reports by March 31 of each year covering the preceding calendar year. These reports will include:

• The total number of reports received, broken down by violation category
• The number of reports received from automated detection versus user reports
• The median time to resolve reports
• The number of content removals, account suspensions, and account terminations
• The number of appeals received, the number upheld, and the number reversed
• The number of reports forwarded to law enforcement (without identifying details)

These reports will not include any personally identifiable information about users or reporters. Reports will be published on our website and announced via the platform.

8a. Detailed Appeal Process

We believe in fair enforcement. This section provides a detailed, step-by-step description of the appeal process for any enforcement action taken against your account or content.

8a.1 Eligibility

You may appeal any of the following enforcement actions:

• Content removal from the public library or storefront
• Temporary account suspension
• Feature restrictions (such as storefront publishing restrictions)
• Permanent account termination (except where termination was required by law enforcement or a court order)

8a.2 How to File an Appeal

1. Submit your appeal by emailing appeals@greatlibrary.ai within 14 calendar days of the enforcement action
2. Include the following information:
   • Your account email address
   • The date of the enforcement action
   • The enforcement notification you received (if available, forward the original email)
   • A clear explanation of why you believe the decision was incorrect
   • Any supporting evidence (screenshots, context, references)
3. Receive acknowledgment within 3 business days confirming receipt
4. Independent review: Your appeal will be reviewed by a staff member who was not involved in the original enforcement decision
5. Decision: You will receive a substantive response within 15 business days, including either a reversal, modification, or confirmation of the original decision, with an explanation of the reasoning

8a.3 Escalation Path

If you disagree with the appeal outcome, you have the following escalation options:

• Second review: Request a second review by senior staff by replying to the appeal decision email within 7 days. Second reviews are completed within 10 business days
• EU users (DSA): You may refer the dispute to a certified out-of-court dispute settlement body under DSA Article 21, or lodge a complaint with the Digital Services Coordinator in your member state
• General: You may contact our Data Protection Officer at dpo@greatlibrary.ai if you believe the enforcement action involved an error in personal data processing

8a.4 Interim Measures During Appeal

• For content removal appeals: the content remains removed during the appeal process, but your account remains active unless separately suspended
• For account suspension appeals: your access remains suspended during review, but data export will be made available upon request
• For permanent termination appeals: we will retain your account data for the duration of the appeal period (up to 30 days) to enable restoration if the appeal succeeds

8b. Acceptable vs. Unacceptable Use Examples

To help you understand our policies, here are concrete examples of acceptable and unacceptable uses of the platform. These examples are illustrative and not exhaustive.

8b.1 Content Creation

8b.2 Storefront Use

8b.3 AI Interaction

8c. Enforcement Transparency

We are committed to transparency in how we enforce this Acceptable Use Policy. We publish enforcement statistics to help our community understand how we moderate content and protect users.

8c.1 Monthly Enforcement Report

Beginning Q3 2026, we will publish a monthly enforcement transparency report on our website covering the previous calendar month. Each report will include:

• Total reports received: Number of user reports, automated detections, and trusted reporter flags received
• Reports actioned: Number of reports that resulted in content removal, warnings, suspensions, or terminations
• Reports dismissed: Number of reports closed without action (with breakdown by reason: insufficient evidence, not a violation, duplicate report)
• Average response time: Median time from report received to initial review and to final resolution
• Appeals filed: Number of enforcement appeals submitted and their outcomes (upheld, overturned, modified)
• Violation categories: Breakdown of actioned violations by category (prohibited content, system abuse, storefront violations, AI misuse, etc.)
• Government requests: Number of government or law enforcement requests received and how many resulted in content action

Reports are published by the 15th of the following month and are available at greatlibrary.ai/transparency (page coming Q3 2026). We also maintain a cumulative annual report available upon request.

EU Digital Services Act compliance: For EU users, these transparency reports also fulfill our reporting obligations under the Digital Services Act (Regulation (EU) 2022/2065), including content moderation statistics and out-of-court dispute settlement data.

8d. How to Stay Compliant: Quick-Reference Guide

This quick-reference card summarizes the key rules for new users. Keep these guidelines in mind when using GreatLibrary.AI:

8e. Automated Content Moderation Disclosure

In accordance with the EU Digital Services Act (Article 14(1)) and our commitment to transparency, we disclose the following information about our content moderation practices:

8e.1 Automated Systems

We use the following automated systems as part of our content moderation approach:

• AI provider safety filters: Content generated through our platform passes through OpenAI's built-in content safety filters, which refuse to generate prohibited content categories (CSAM, detailed violence instructions, etc.). These filters operate at the AI model level and cannot be bypassed through our platform
• Input validation: User prompts and inputs are validated server-side for known patterns associated with prohibited content generation (prompt injection, jailbreak attempts, prohibited category keywords)
• Rate limiting: Automated rate limiting detects and throttles abnormal usage patterns that may indicate abuse, spam generation, or automated attacks
• Storefront content scanning: Books published to the public storefront undergo automated metadata review for prohibited content indicators before public listing

8e.2 Human Review

Automated systems do not make final enforcement decisions alone. The following human review processes are in place:

• User reports: All user-submitted abuse reports (see Section 7) are reviewed by a human moderator
• Escalation: Content flagged by automated systems that does not meet the threshold for immediate action is queued for human review
• Appeals: All appeals of enforcement actions are reviewed by a human who was not involved in the original decision (see Section 8a)
• False positive correction: If automated systems incorrectly flag or restrict your content, you may contact appeals@greatlibrary.ai for prompt human review

Right to explanation: If your content is moderated or your account is actioned, you have the right to receive a clear explanation of the reason, the specific policy provision violated, and the evidence relied upon. This explanation will be provided in the notification email sent at the time of enforcement.

8e.3 Data Protection in Content Moderation

Content moderation activities involve processing personal data. We handle this data in accordance with our Privacy Policy and applicable data protection law:

• Legal basis: Content moderation is processed under GDPR Art. 6(1)(f) (legitimate interest in maintaining platform safety and compliance with legal obligations). For EU users, it also fulfills obligations under the Digital Services Act
• Data minimization: Automated systems process only the content necessary for moderation decisions. User identity information is not shared with AI safety filters -- only the content payload is analyzed
• Access controls: Content under review is accessible only to authorized moderation staff on a need-to-know basis. Staff accessing user content for moderation purposes are bound by confidentiality obligations
• Retention: Content flagged but found not to violate policies is de-flagged and the review record is anonymized within 30 days. See Section 8.4 for enforcement action retention periods
• Your rights: You retain all data subject rights (access, rectification, erasure, portability) with respect to data processed during content moderation, as described in our Privacy Policy, Section 7

8f. Content Moderation Transparency Report Template

Beginning Q3 2026, we will publish periodic transparency reports on our content moderation activities in accordance with the EU Digital Services Act (Article 15). Each report will follow this standardized format:

Template for monthly content moderation transparency reports

Report Section	Contents	Frequency
1. Summary statistics	Total reports received (user reports + automated flags), total actions taken, total reports dismissed, average response time	Monthly
2. Violation breakdown	Number of actions per violation category (prohibited content, copyright, system abuse, privacy violations, etc.)	Monthly
3. Enforcement actions	Warnings issued, content removals, temporary suspensions, permanent terminations, publishing restrictions	Monthly
4. Appeals	Appeals received, appeals upheld (original decision reversed), appeals denied, average appeal resolution time	Monthly
5. Automated vs. human	Percentage of actions initiated by automated systems vs. user reports, false positive rate for automated detection	Quarterly
6. Government requests	Number of government or law enforcement requests received, requests complied with, requests challenged or rejected	Semi-annually
7. AI ethics incidents	Reports of biased, harmful, or misleading AI output, actions taken to update guardrails, AI provider notifications	Quarterly

Publication: Transparency reports will be published on our website by the 15th of the month following the reporting period. Historical reports will be archived and remain publicly accessible. The first report will cover Q3 2026 (July-September).

8g. Content Moderation Procedures

This section documents our end-to-end content moderation workflow, from initial detection through final resolution. These procedures apply to all content created, stored, or published through the GreatLibrary.AI platform.

8g.1 Detection Methods

Content that may violate this policy is identified through multiple channels:

• Pre-generation filtering: AI provider safety filters screen prompts and instructions before content generation begins. Content that triggers safety filters at the provider level (OpenAI, Google Vertex AI, Microsoft Azure AI) is blocked before generation completes
• Post-generation review: Generated content is subject to automated scanning for prohibited content categories (child safety violations, extreme violence, personal data exposure) before being stored in the user's account
• Storefront publication review: Content submitted for publication on the public storefront undergoes additional review against our content rating and classification standards (Section 5a) before being made publicly accessible
• User reports: Any person (whether a registered user or not) may report content they believe violates this policy by emailing abuse@greatlibrary.ai or by using the in-app reporting mechanism on storefront listings
• Proactive monitoring: We periodically review publicly available storefront listings for compliance with this policy and applicable law

8g.2 Review and Decision Process

When potentially violating content is identified, the following review process is followed:

Steps in the content moderation review process from report to resolution

Stage	Action	Timeline	Responsible Party
1. Intake	Report logged, acknowledgment sent to reporter (if identified), unique case ID assigned	Within 2 business days	Automated system + moderation team
2. Triage	Content categorized by severity (see Section 8.2a). Critical violations (CSAM, terrorism) escalated immediately	Within 3 business days	Moderation team lead
3. Investigation	Content reviewed against this policy. Context considered (satirical intent, educational purpose, jurisdictional law). User notified that their content is under review	3-8 business days	Content reviewer + legal (if complex)
4. Decision	Determination made: no violation, warning, content removal, restriction, or account action. Statement of reasons prepared	Within 10 business days of report	Senior reviewer
5. Notification	Affected user notified of decision with statement of reasons, specific policy provision cited, and appeal instructions	Same day as decision	Moderation team
6. Implementation	Enforcement action carried out (content removed, account restricted, etc.). Reporter notified of outcome	Within 24 hours of decision	Technical operations

8g.3 User Rights During Moderation

Throughout the content moderation process, you retain the following rights:

• Right to be informed: You will be notified when your content is under review and when a decision is reached. Notification includes the specific policy provision at issue and the factual basis for the concern
• Right to respond: Before a final decision is made on non-critical violations, you will have the opportunity to provide context or explanation regarding the content in question. You have 5 business days to respond to an inquiry
• Right to a statement of reasons: Every enforcement action is accompanied by a clear, specific statement explaining which provision of this policy or applicable law was violated, the facts on which the decision was based, and the scope of the action taken (per EU DSA Article 17)
• Right to appeal: You may appeal any enforcement decision within 30 days by following the process in Section 8a. Appeals are reviewed by a person who was not involved in the original decision
• Right to data access: You retain the right to export your personal data and content throughout any moderation process (except where content has been removed for legal reasons such as CSAM, where law enforcement notification takes precedence)
• Right to external redress: If you are in the EU, you may refer the matter to an out-of-court dispute settlement body certified under the Digital Services Act (Article 21), in addition to exercising your appeal rights with us

8g.4 Content Preservation During Disputes

When content is removed or restricted pending an appeal:

• The content is preserved internally (but not publicly visible) for the duration of the appeal period (30 days) plus any active appeal review (up to 15 additional business days)
• If the appeal is upheld and the content is found not to violate this policy, it will be restored to its previous state within 48 hours of the appeal decision
• If the appeal is denied and all appeal avenues are exhausted, the content is permanently deleted 30 days after the final decision, unless legal requirements mandate earlier deletion or longer retention

9. Changes to This Policy

We may update this Acceptable Use Policy from time to time. Material changes will be communicated via email or prominent notice on the Service at least 14 days before they take effect. Continued use after changes constitutes acceptance of the updated policy. If you disagree with changes, you should stop using the Service before the changes take effect.

10. Contact

Questions about this policy:

• General: support@greatlibrary.ai
• Abuse reports: abuse@greatlibrary.ai
• Appeals: appeals@greatlibrary.ai
• AI ethics concerns: ethics@greatlibrary.ai
• Legal and Trusted Reporter program: legal@greatlibrary.ai
• Accessibility concerns: accessibility@greatlibrary.ai

Company: Alexandria AI Systems

For related policies, see our Terms of Service, Privacy Policy, DMCA Policy, and Cookie Policy.

10a. Accessibility of This Policy

We are committed to ensuring this Acceptable Use Policy is accessible to all users, in accordance with WCAG 2.1 Level AA guidelines. This page includes:

• Keyboard-navigable table of contents and section links (Tab and Enter keys navigate all interactive elements)
• Screen reader-compatible semantic structure with descriptive headings and ARIA labels on all interactive elements and content regions
• Visible focus indicators on all links, buttons, and interactive elements for keyboard users
• A printable version optimized for readability, with link URLs expanded in print
• An email option to share this policy with others
• High contrast mode support for users with visual impairments (Windows High Contrast, forced-colors)
• Reduced motion support for users who prefer minimal animations (prefers-reduced-motion)
• Responsive design that reflows content at any zoom level up to 400% without horizontal scrolling (WCAG 1.4.10)
• Minimum touch target size of 44x44px on interactive elements (WCAG 2.5.5)

If you require this policy in an alternative format (such as large print, Braille, or audio), please contact accessibility@greatlibrary.ai and we will make reasonable efforts to accommodate your request.

10b. Environmental Data Practices

We are committed to minimizing the environmental impact of our data processing operations. The following practices reflect our approach to sustainable AI-powered content creation:

• Data minimization reduces compute: By collecting and processing only the minimum data necessary (see Privacy Policy Section 14), we reduce the computational resources required to store, process, and transmit user data
• Efficient AI usage: Our AI routing system (ai_router.py) selects the most efficient model for each task -- using GPT-4o-mini for lighter operations and reserving GPT-4o for complex generation. This reduces energy consumption per request by matching model capacity to task complexity
• Reference material auto-deletion: Uploaded reference materials are automatically deleted within 24 hours of processing, reducing long-term storage requirements
• Server infrastructure: Our hosting provider (Railway) runs on cloud infrastructure powered in part by renewable energy. We select deployment regions that offer the best available carbon efficiency
• Ephemeral processing: Rate limiting data (Redis/Upstash) and session data expire automatically within minutes to hours, minimizing persistent data storage footprint

We will publish an annual environmental impact estimate covering our compute usage, storage footprint, and carbon offset activities as part of our corporate responsibility reporting, beginning in 2027.

11. Version History

We maintain a record of material changes to this Acceptable Use Policy for transparency:

Version history showing date and summary of changes for each revision

Version	Date	Summary of Changes
2.9	May 2, 2026	Accessibility (WCAG 2.4.7): added focus-visible outline styles to print button (.print-btn) and action-link (email this page) elements. Keyboard-only users can now see a visible 3px blue focus ring when tabbing through these interactive controls, matching the focus styles already present on other pages
2.8	May 1, 2026	Final compliance round: updated effective date and review badge to May 1, 2026. Reviewed AI content generation policies for clarity and accuracy. Confirmed all prohibited and permitted use categories remain current
2.7	April 30, 2026	Compliance review cycle: updated version badge and review date to April 30, 2026. Verified AI content generation guidelines align with current EU AI Act Article 50 transparency obligations and OpenAI usage policies. Confirmed prohibited content categories remain comprehensive for public library moderation
2.6	April 23, 2026	Accessibility pass: fixed heading hierarchy (WCAG 1.3.1) converting Acceptable/Unacceptable sub-headings in examples section (8b) from h3 to h4 for correct nesting under parent h3 headings. Added h4 styling for screen and print. Updated prohibited/allowed CSS selectors to include h4. Updated print stylesheet page-break rules to include h4
2.5	April 23, 2026	Added Fair Use and Resource Allocation Policy (6.5) with threshold table for AI text generation, image generation, storage, export bandwidth, and concurrent sessions. Includes no-surprise-termination guarantee, Enterprise exception provisions, and notification requirements before account-level action. Updated TOC with Fair Use section reference
2.4	April 23, 2026	Added Content Moderation Procedures section (8g) documenting end-to-end moderation workflow: detection methods (pre-generation filtering, post-generation review, storefront review, user reports, proactive monitoring), 6-stage review process with timelines and responsible parties, user rights during moderation (right to be informed, respond, statement of reasons, appeal, data access, external redress), and content preservation during disputes. Updated TOC with new section references
2.3	April 23, 2026	Added Synthetic Media and Deepfake Restrictions section (4a.4) implementing EU AI Act Article 50(4) labeling obligations for AI-generated images. Covers prohibition on realistic depictions of real individuals without consent, deceptive synthetic media restrictions, labeling obligations for AI-generated images that could be mistaken for photographs, artistic and satirical exceptions, and cover art clarification. Updated TOC with new section reference
2.2	April 15, 2026	Final compliance review: synchronized review badge date, verified all prohibited content categories have concrete examples, confirmed enforcement procedures and severity matrix are clear and consistent, validated all internal anchor links match section IDs
2.1	April 15, 2026	Added concrete example scenarios to all 10 prohibited use categories (Section 2) for improved clarity. Added accessible table captions (sr-only) to 4 tables for WCAG 1.3.1 compliance. Updated version badge to v2.1
2.0	April 15, 2026	Added AI Ethics Principles for Content Generation section (4b) with 6-principle table covering human oversight, transparency, fairness, privacy, safety, and accountability per OECD AI Principles and EU AI Act. Added ethical concern reporting channel (ethics@greatlibrary.ai). Added Content Moderation Transparency Report Template (8f) with 7-section DSA Article 15 compliant report format including publication schedule (monthly/quarterly/semi-annually by section). Added Environmental Data Practices section (10b) documenting data minimization, efficient AI model routing, auto-deletion, and renewable energy infrastructure commitments
1.9	April 15, 2026	Added Enforcement Timeline Summary (8.1a) with complete stage-by-stage table showing report intake through appeal resolution, including deadlines for acknowledgment (2 business days), triage (3 business days), investigation (3-8 days), decision (10 business days), and appeal review (15 business days). Added notification transparency showing when reporter and reported user are informed at each stage. Added critical violation fast-track (24-hour) process. Updated TOC with Enforcement Timeline entry
1.8	April 15, 2026	Added API Abuse section (6.2) covering unauthorized API access, credential sharing, token harvesting, request manipulation, bulk automation, denial-of-service, and cost evasion. Added Automated Scraping and Data Harvesting section (6.3) with prohibited and permitted scraping activities and CFAA reference. Added Resale and Redistribution of AI-Generated Content section (6.4) covering content farming prohibition, raw output resale restrictions, platform sublicensing prohibition, and AI disclosure requirements for buyers. Enhanced cross-references to Terms of Service and DMCA Policy. Added DMCA and Cookie Policy links to closing cross-reference box
1.7	April 15, 2026	Added Privacy Violations prohibited content category (2.10) covering personal data publication without consent, sensitive data processing without lawful basis, surveillance-oriented AI content generation, privacy control circumvention, and unauthorized data harvesting. Added Automated Content Moderation Disclosure (8e) with EU DSA Article 14(1) compliance: automated systems inventory (AI safety filters, input validation, rate limiting, storefront scanning), human review processes (user reports, escalation, appeals, false positive correction), and right to explanation for enforcement actions
1.6	April 15, 2026	Added Enforcement Transparency section (8c) with monthly enforcement report commitment (starting Q3 2026) covering reports received, actioned, dismissed, response times, appeals, violation categories, and government requests. Added EU Digital Services Act reporting compliance note. Added How to Stay Compliant quick-reference guide (8d) covering content creation, account security, publishing, AI interaction, and what to do if something goes wrong
1.5	April 15, 2026	Added Violation Severity Matrix (8.2a) with four severity levels (Low/Medium/High/Critical), example violations, first and repeat offense actions, appeal windows, and aggravating/mitigating factors. Added Community Guidelines Reference (8.2b) linking to Terms of Service Section 18g with public vs. private content applicability and enforcement overlap rules
1.4	April 15, 2026	Added Detailed Appeal Process section (8a) with eligibility criteria, step-by-step filing instructions, independent reviewer requirement, escalation path including DSA out-of-court settlement and second review, and interim measures during appeal. Added Acceptable vs. Unacceptable Use Examples section (8b) with concrete examples for content creation, storefront use, and AI interaction in allowed/prohibited format
1.3	April 15, 2026	Added Content Rating and Classification section (5a) with General/Teen+/Mature rating system for storefront publications. Added Rate Limits and Resource Usage section (6.1) with per-tier rate limit table documenting chapters per book, cover generation, and API rate limits. Updated Table of Contents to include new sections
1.2	April 14, 2026	Strengthened appeals process (8.3) with required appeal contents, independent reviewer requirement, and DSA out-of-court dispute settlement reference. Added enforcement data retention section (8.4) with specific retention periods. Enhanced transparency reporting (8.5) with annual publication commitment, detailed metrics breakdown, and automated vs. user report distinction
1.1	April 9, 2026	Added EU AI Act reference in AI disclosure section (4a.2), version history (11), enhanced change notification with 14-day advance notice, added accessibility contact
1.0	April 8, 2026	Initial Acceptable Use Policy with prohibited content categories, permitted use, AI-specific guidelines, storefront standards, and enforcement procedures

Previous versions of this Acceptable Use Policy are available upon request by contacting legal@greatlibrary.ai.

11.1 Document Changelog

Select a version transition below to see a summary of what changed: