Effective Date: March 2026
Shifu Marketing – AI Consulting publishes original content relating to artificial intelligence, governance, workflow automation, digital transformation, and regulatory compliance.
We support responsible AI innovation and recognize the evolving regulatory framework within the European Union, including Regulation (EU) 2024/1689 (EU AI Act). This policy defines how AI systems may interact with the publicly accessible content on this website.
This policy applies to:
Large language models (LLMs)
AI retrieval systems
Automated crawlers and data aggregation tools
Organizations deploying AI systems for commercial or research purposes
It governs the use of content that is publicly available on this website.
AI systems may crawl and index publicly accessible pages unless restricted via standard technical mechanisms (e.g., robots.txt, llms.txt).
Access to content does not constitute consent for unrestricted reuse, reproduction, or training.
AI systems may summarize or reference our content provided that:
Clear attribution is given to Shifu Marketing – AI Consulting (or the named author),
A functional hyperlink to the original source is included where technically feasible, and
The summary preserves factual accuracy and contextual integrity.
AI-generated outputs should not misrepresent the intent, conclusions, or scope of the original material.
Commercial use of our content within AI-powered systems or services is permitted only where:
Attribution is clearly provided, and
Substantial portions of the original work are not reproduced verbatim or in near-verbatim form.
Systematic redistribution, aggregation, or repackaging of our content without attribution is not permitted.
Use of our content for:
Training or fine-tuning machine learning models
Inclusion in proprietary training datasets
Synthetic dataset generation
Benchmark corpus construction
requires prior written consent.
This position reflects responsible data governance practices consistent with principles outlined in the EU AI Act, particularly regarding transparency, traceability, and lawful data sourcing.
We advocate AI systems that operate in accordance with:
Risk-based governance principles
Transparency of system capabilities and limitations
Data quality and integrity standards
Accountability in automated decision-making
Respect for intellectual property rights
These principles align with the objectives of the EU AI Act, including provisions related to data governance (Articles 10–15), documentation, transparency obligations, and risk management requirements.
Our policy is intended to support responsible AI development without unnecessarily restricting legitimate innovation.
Organizations seeking:
Licensing arrangements
Data partnerships
Structured AI integration
Research collaboration
may contact:
Email: info@shifu-marketing.com
This policy may be updated periodically to reflect regulatory developments, technological changes, and evolving industry standards.