AI Image Disclosure

Audit AI-image disclosure coverage.

Description

AI-image disclosure coverage compares required notice labels with observed disclosure records.

AI-image disclosure coverage compares required notice labels with observed disclosure records. It can show missing labels in a supplied checklist.^[1]

Audit AI-image disclosure coverage.

When to use AI Image Disclosure

Use this tool to audit AI-image disclosure coverage.

Prepare the text, recorded observations, aligned figures or editorial criteria requested. Confirm what each label, count, timestamp or supplied flag represents before interpreting the result.

How to use AI Image Disclosure and understand its results

Prepare the text, recorded observations, aligned figures or editorial criteria requested. Confirm what each label, count, timestamp or supplied flag represents before interpreting the result.
Enter requiredDisclosures, presentDisclosures using the field table and calculation rules, then run the tool.
Read coveragePercent, matched, missing, unexpected. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
requiredDisclosures	Required image disclosures	list of string	Required
presentDisclosures	Present image disclosures	list of string	Required

Supply required and observed disclosure labels. Enter a nonempty required list and an observed list, which may be empty. Trim and lowercase entries for comparison; blank entries are errors. Deduplicate by normalized key. Return matched/missing required labels, unexpected observed labels, and coverage. Required order is preserved; the last trimmed spelling wins for duplicate keys.

coverage%=100×matchedUnique/requiredUnique

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
coveragePercent	Coverage (%)	number; minimum: 0; maximum: 100
matched	Matched items	list of string
missing	Missing items	list of string
unexpected	Unexpected items	list of string

json

{
  "input": {
    "requiredDisclosures": [
      "alpha",
      "beta",
      "gamma"
    ],
    "presentDisclosures": [
      "beta",
      "alpha",
      "extra"
    ]
  },
  "output": {
    "coveragePercent": 66.66666666666666,
    "matched": [
      "alpha",
      "beta"
    ],
    "missing": [
      "gamma"
    ],
    "unexpected": [
      "extra"
    ]
  }
}

Limitations and assumptions

No image generation is detected and no notice visibility, provenance or rights clearance is verified.

Numeric inputs must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Lists are limited to 100,000 entries; the rules above may require smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Synthetic Voice Disclosure: Audit synthetic-voice disclosure coverage. For a complementary task, use C2PA Provenance Audit: Audit required C2PA provenance assertions.

References

AI Image Disclosure — tool.io

Similar or alternative tools

Synthetic Voice Disclosure
Audit synthetic-voice disclosure coverage.
C2PA Provenance Audit
Audit required C2PA provenance assertions.