VDP AI Principles

AI is the simulation of cognitive abilities and problem-solving skills, enabling machines to perform tasks that require reasoning, decision-making, and natural language processing. AI has the potential to be humanity's greatest or worst invention. Our choices and actions will determine which. How we, at Voodoo Park, develop, implement and use AI, is governed by four principles.
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Responsible AI

At Voodoo Park, we believe artificialintelligence should be built to benefit people, businesses, and society. Our agentic AI platform, AIME, has been designed in alignment with the OECD AI Principles, ensuring that inclusivity, fairness, transparency, robustness, and accountability are embedded from the ground up.

Inclusive Growth & Wellbeing – AIME helps SMEs and enterprises achieve measurable productivity gains while reducing environmental impact through low-carbon models.
Human-centred Values & Fairness – We are committed to fairness, bias testing, and human oversight for high-stakes uses.
Transparency & Explainability – We maintain Model Cards and a Transparency Pack so stakeholders understand what AIME does, how it works, and its limitations.
Robustness, Safety & Security – Sentinel modules, monitoring, and our Incident Response Plan ensure resilient and secure operation.
Accountability – Each AI risk has a named owner, with board-level oversight and clear stakeholder feedback channels.

We recognise that responsible AI is anongoing journey. As AIME scales in deployment, we will continue to gather evidence, share progress openly, and strengthen our governance to maintaintrust and transparency.

Principles

AI must be Purposeful

The purpose of AI is to make life better for all humans.
AI should be developed and used in a way that is beneficial to society and respects human rights and dignity.
AI systems should incorporate mechanisms for human oversight and control to ensure they align with human values and goals.

AI must be Inclusive

AI systems must contribute to increased representation and inclusion.AI systems should be developed and used in a way that does not reinforce unfair bias, discrimination, or inequality.AI systems must be created with the consent and participation of those whose lives will be affected by them

AI must be Safe

The first obligation of AI is to be incapable of harm.AI systems should be transparent, explainable, and accountable, and people should be able to understand how they work and how they make decisions.AI systems should be safe, reliable, and subject to rigorous testing and evaluation before deployment.AI systems should be developed and used with privacy in mind and protect the personal information of users.

AI must be Ethical

Both the direct and indirect consequences of AI must be considered at all times.AI systems should be developed and used in a way that promotes sustainability and reduces their negative impact on the environment.AI systems should be developed and used with consideration of their potential impact on employment and job displacement.

VDP AI Assistance Rating System

The AI Assistance Rating System (AIRS) is designed to evaluate the level of AI help an author had in creating a piece of text. This rating system ranges from 0 to 5, with 0 signifying no AI assistance and 5 indicating the highest level of AI assistance.
The ratings are as follows:

No AI Assistance

The author created the text without any AI assistance or tools for content generation, structure, or editing.
Basic AI tools such as spell checkers, grammar checkers, or synonym suggestions were used only for language improvement.
No AI assistance was used for researching the subject or creating text.

Minimal AI Assistance

The author used AI for basic tasks such as researching the subject or providing relevant references, sources, or data.
AI tools like search engines or AI-powered research assistants were used for gathering information but not for content generation.
Basic AI tools for language improvement (e.g., spell checkers, grammar checkers) were also used.

Low AI Assistance

The author used AI for more advanced tasks such as idea generation, content suggestions, or sentence rephrasing.
AI-based tools like topic generators or AI writing assistants were used occasionally to support the author's work but were not the primary source of content.
AI assistance was also used for research and language improvement.

Moderate AI Assistance

The author heavily relied on AI tools for idea generation, content suggestions, and sentence rephrasing, as well as research.AI-based tools like AI writing assistants, content generators, or AI-powered research assistants were frequently used, and a significant portion of the text was influenced by AI-generated content and research.

High AI Assistance

The author used AI tools for the majority of the text creation, including idea generation, content suggestions, sentence rephrasing, and editing.AI writing assistants, content generators, or AI-powered research assistants played a crucial role in shaping the text, with the author providing only minor edits and guidance.AI assistance was heavily involved in both research and content creation.

Full AI Assistance

The entire text was generated by AI tools, with little to no human input or intervention.
The author may have provided initial prompts, keywords, or research topics but relied on AI to generate the content, structure, perform edits, and gather research materials.

To use AIRS effectively, authors should assess the level of AI assistance they utilised during the text creation process and assign a rating accordingly. This rating system will help provide transparency to readers and allow them to better understand the extent of AI involvement in the creation of the content they consume.

References
_‍_{The Asilomar AI Principles}_{: Asilomar AI Principles. (2017). Future of Life Institute.}_{https://futureoflife.org/ai-principles/
‍}_{The Montreal Declaration for Responsible AI}_{: Montreal Declaration for Responsible AI. (2018). Université de Montréal.}_{https://www.montrealdeclaration-responsibleai.com/the-declaration
‍}_{The European Union’s Ethics Guidelines for Trustworthy AI}_{: European Commission. (2019). Ethics guidelines for trustworthy AI.}_{https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai
‍}_{The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems}_{: IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. (2019). Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. IEEE.}_{https://ethicsinaction.ieee.org/
‍}_{The Stanford University Human-Centered AI Manifesto}_{: Stanford Institute for Human-Centered Artificial Intelligence. (2018). The Stanford University Human-Centered AI Manifesto. Stanford University.}_{https://hai.stanford.edu/blog/human-centered-artificial-intelligence-manifesto
‍}_{Google AI Principles}_{: Google. (2018). Google AI Principles.}_{https://www.blog.google/technology/ai/ai-principles/
‍}_{Responsible and trusted AI - Cloud Adoption Framework | Microsoft Learn.}_{https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai}