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Open Data Ownership License (ODOL) 18.0

🌐 Empowering Data Ownership in the AI Domain

πŸ” What is ODOL?

The Open Data Ownership License (ODOL) 18.0 is a global, transparent, and legally robust framework designed to protect user data and establish clear boundaries for AI providers. It ensures that individuals and businesses retain full ownership of their input and output data, while promoting responsible and transparent data practices within the AI industry.

🎯 Key Objectives

  • πŸ›‘οΈ Protect User Rights: Users maintain ownership of their intellectual contributions when interacting with AI systems.
  • βš–οΈ Ensure Legal Clarity: Provides a clear structure for dispute resolution and compliance across jurisdictions.
  • 🧠 Promote Ethical AI Use: Introduces rigorous standards for auditing, anonymization, and data deletion.
  • 🌍 Facilitate Global Adoption: Aligns with GDPR, CCPA, PIPL, ISO/IEC 27701, NIST SP 800-53, and other international regulations.

πŸ“œ License Overview

ODOL 18.0 introduces the following core principles:

  1. User Ownership: Users own all non-public data they provide, as well as generated content reflecting original ideas.
  2. Transparent Metadata Handling: Metadata collection is allowed solely for system performance optimization with strict anonymization.
  3. Right to Erasure: Users can request deletion of their data, including model training sets, with proof of compliance.
  4. Internationally Recognized Standards: Built upon standards from ISO/IEC, NIST, IEEE, and GDPR.
  5. Accountability & Transparency: Mandates independent audits, public reports, and strict penalties for non-compliance.

βš–οΈ Why Does ODOL Matter?

As AI technology evolves, concerns around data ownership, misuse, and privacy grow. ODOL 18.0 provides a solid foundation to:

  • Prevent unauthorized data usage.
  • Offer a standardized approach for AI developers and companies.
  • Empower individuals to maintain control over their data contributions.
  • Align AI operations with ethical and legal standards.

πŸ› οΈ Contributing to Open Data Ownership License (ODOL)

We welcome collaboration from privacy advocates, AI researchers, legal professionals, and the broader tech community. To get started:

  • Review the CONTRIBUTING.md document for guidelines on participation.
  • Open an issue to report bugs, propose features, or seek clarification on the license or its implementation.
  • Participate in discussions on applying AI data practices in compliance with privacy-first principles and global standards (e.g., GDPR, CCPA, ISO/IEC 27701).
  • Follow the coding standards, privacy requirements, and security protocols outlined in the documentation.
  • Submit pull requests with clear, descriptive commit messages and references to related issues when applicable.

Key Guidelines:

  • Compliance: Adhere to GDPR, CCPA, PIPL, and ISO/IEC 27701 standards.
  • Code Quality: Maintain clean, well-documented, and efficient code.
  • Privacy-First Approach: Ensure that implementations prioritize user data privacy.

Contributors must submit code that meets the ODOL requirements, including proper use of cosine similarity thresholds, Ξ΅-Differential Privacy protocols, and audit-friendly practices.

πŸ“¬ Contact: [email protected].
🌐 Website: https://www.odol-license.org/


πŸ“ Issues

To report bugs, request features, or discuss improvements, please visit the Issues section.

Issue Categories:

  • Bug Report: Identify and describe functionality or security issues.
  • Feature Request: Suggest innovative features or enhancements.
  • Documentation Update: Propose changes or additions to improve clarity.
  • Security Concern: Report potential privacy or data security vulnerabilities.

Guidelines for Submitting Issues:

  • Provide a clear, detailed description of the issue.
  • Include steps to reproduce bugs when applicable.
  • Attach relevant logs, code snippets, or references to research if available.

Issues related to privacy protocols should reference specific standards or research papers to ensure scientific rigor and compliance with ODOL's core principles.


πŸš€ Get Started

  1. Read the License:
  2. Share & Implement: Spread the word and consider adopting ODOL for your AI infrastructure.
  3. Collaborate: Engage with us on GitHub by sharing your insights and expertise.

βš–οΈ License Overview

This repository is subject to the following license terms:

  • Software Components: Licensed under Apache License 2.0.
  • Documentation, including Open Data Ownership License (ODOL):
    Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

πŸ”— Learn more:


"Your Data. Your Decisions. Your Rights." (The guiding principle of ODOL.)