AI use philosophy
AI can help learners draft, organize, summarize, plan and improve work. AI cannot replace responsibility. Certifiedge assesses the learner decision process, verification discipline, disclosure quality and ability to use AI safely.
AI Use Policy
AI Use Policy
Certifiedge allows responsible AI use where it strengthens learning, productivity and evidence - but AI use must be disclosed, reviewed and guided by human judgment.
Human judgment requirement
Learners remain accountable for final submissions. Assessor review can require correction where AI output is inaccurate, unsafe or weakly justified.
FAQ
AI use questions answered directly.
Is AI always allowed on Certifiedge?
No. AI permissions depend on task rules, confidentiality risks and assessment requirements.
Can AI-assisted work still be accepted?
Yes, when disclosure is complete, quality checks are clear and human judgment is visible.
What if AI output is wrong but submitted anyway?
The submission may require revision or rejection depending on risk and quality impact.
Does AI use block Royalty automatically?
No. Undisclosed or unsafe AI use can block Royalty, but responsible documented use can still support evidence quality.
Where AI may be allowed
- drafting customer replies
- organizing notes
- summarizing meetings
- generating first drafts
- improving grammar and clarity
- creating planning templates
- building prompt libraries
- creating workflow drafts
- brainstorming ideas
- reviewing structure before human revision
Where AI is restricted
- processing confidential information without authorization
- exposing personal data in prompts
- replacing unaided-skill assessments where AI is not allowed
- submitting unverifiable or fabricated claims
- accepting outputs the learner cannot explain
- using copied AI output as final submission without judgment
- inventing citations or sources
- using AI where legal, safety or compliance review is required but missing
Disclosure rules
- AI tool used
- prompt or workflow used
- output produced by AI
- what the learner changed
- how accuracy was checked
- how sensitive data was removed or protected
- why output was accepted or rejected
Privacy and confidential data
Learners and teams should remove sensitive personal, commercial or regulated data before using AI tools unless approved secure workflows are explicitly provided.
Responsible AI use includes confidentiality discipline, attribution integrity and evidence that human verification was performed.
Plagiarism and originality
Undisclosed copy-paste output, fabricated references and misleading citations can trigger evidence rejection.
Learner responsibilities
Disclose AI use honestly, verify outputs, document edits, and maintain confidentiality boundaries.
Assessor responsibilities
Evaluate evidence quality, disclosure completeness and practical judgment, not just polished wording.
Employer and partner interpretation
AI-assisted evidence can still be useful when process quality is clear. Employers and partners should review judgment notes, quality checks and disclosure trails before relying on outputs.
Consequences of misuse
- revision required
- evidence rejected
- Proof Passport entry withheld
- Skill DNA indicator reduced where policy requires
- Royalty review blocked
- account review
- partner or employer notified where appropriate and lawful
- suspension for serious misconduct
Consequences should remain proportionate, documented and reviewable.
Policy note
Certifiedge policies should be reviewed by qualified legal and data protection professionals before formal launch, especially where learner data, employer access, payments, minors, research participation or cross-border users are involved.