Pi-CiteRight™ 3 — The Essential Generative AI Disclosure Tool for Writers & Innovators

By Dr. Elmer B. Hall (updated from July 12 2025, CiteRight 2)
President, Strategic Business Planning Company | Publisher, PerpetualInnovation.org

Generative AI Disclosure is now an essential part of writing, research, and innovation. As tools like ChatGPT, Gemini, and DALL·E reshape how content is created, audiences expect transparency about when and how AI contributed. Pi-CiteRight™ 3 offers a practical framework for ethical AI authorship transparency, moving beyond outdated numeric scoring systems. With clear disclosure tags, a simple phase-based model, and adaptable templates, this tool helps writers, innovators, and researchers explain their use of AI in content creation. Learn how to apply Pi-CiteRight™ 3 to boost trust, align with best practices, and make your work future-ready in the age of generative AI.

Why Generative AI Disclosure Matters

Generative AI has become an everyday tool, whether for drafting reports, brainstorming strategies, or creating visuals. But without clear disclosure, audiences are left wondering: Who really authored this?

• In academia, undisclosed AI use can risk plagiarism or integrity violations.
• In journalism and business, lack of transparency may erode trust.
• In creative fields, audiences want to know what’s human-made and what’s machine-generated.

By adopting tools for disclosing AI content, we strengthen trust, preserve originality, and encourage responsible innovation.

From Pi-CiteRight™ 2 to Pi-CiteRight™ 3: What Changed

Pi-CiteRight™ 3 evolves beyond the limitations of version 2.0, which is now retired.

What’s gone

• No more 0–10 numeric scores
• No more percentage-based AI contribution reporting

What’s new

• Disclosure Profile System with intuitive tags (Idea Booster, Prompt Partner, Co-Creator, Visual Generator, Research Synthesizer, Theorist Assistant, AI-Led Author, etc.)
• PPP-R model: Prime, Prompt, Polish, Reflect — a simple way to show when AI was used
• Flexible placement: disclosure can appear in a footnote, appendix, or main text, depending on context
• Mandatory integrity line for academics: Final responsibility for the arguments, interpretations, and conclusions rests solely with the human authors.

This makes AI authorship transparency easier to explain while reinforcing that humans remain accountable.

The Disclosure Profile System

Pi-CiteRight™ 3 introduces a clear tagging approach for the use of AI in content creation:

• 🧠 Idea Booster – AI helped generate ideas or alternatives
• ✍️ Prompt Partner – AI responded to structured prompts to support drafting
• 🛠️ Co-Creator – AI contributed substantially to models, frameworks, or text
• 🎨 Visual Generator – AI produced images, graphics, or visuals
• 📚 Research Synthesizer – AI assisted in reviewing, summarizing, or mapping literature
• 📐 Theorist Assistant – AI aided in conceptual design or theory building
• 🪄 AI-Led Author – AI generated the majority of the draft

Authors can select one or more tags that best describe their innovation and generative AI use.

The PPP-R Model: Phases of AI Use

To add context, Pi-CiteRight™ 3 also identifies when AI was engaged:

1. Prime (Planning) – AI helped outline or structure ideas.
2. Prompt (Drafting) – AI generated raw text, code, or visuals.
3. Polish (Refinement) – AI improved grammar, style, or clarity.
4. Reflect (Verification) – human authors fact-checked, reviewed, and finalized the work.

This phased view shows that even when AI contributes, human authorship remains central.

Example Disclosure Statement

Here’s how Pi-CiteRight™ 3 might look in practice:

Disclosure: Generative AI was used in the Prompt and Polish phases (Prompt Partner + Co-Creator). AI assisted in drafting and refining portions of the article. The author reviewed, fact-checked, and finalized all content. Final responsibility for the arguments and conclusions rests solely with the human author.

This kind of simple, precise note enhances trust without over-complicating the writing process.

Best Practices for AI Authorship Transparency

• Always disclose AI involvement, even for small edits.
• Verify all facts, citations, and references AI suggests.
• Match disclosure style to your field’s norms (academic vs. professional vs. creative).
• Use Pi-CiteRight™ 3’s profile + phase model for clarity.

Conclusion: Tools for Disclosing AI Content

As innovation and generative AI reshape writing, research, and design, transparency is non-negotiable. Pi-CiteRight™ 3 equips authors with a practical, ethical, and adaptable framework to ensure responsible disclosure. (Available in Custom GPTs at Open AI’s ChatGPT.com site.)

Whether you’re drafting a paper, designing a business report, or experimenting with creative writing, Pi-CiteRight™ 3 makes it easier to say: Yes, AI helped — and here’s how.

Attribution Tag
Powered by Pi-CiteRight™ 3 (Elmer Hall, SBPlan.com | PerpetualInnovation.org)

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