The AI REAd the melanin clusters = wrinkles or aging patterns

Look at their “aging simulation” image:
Those grid-like markings the machine labeled as:

• “wrinkles”

• “deep pigment”

• “aging”

are actually just melanin clusters + natural depth from undertones.

This ALWAYS happens with:

• brown skin

• textured areas

• shadow-prone areas

• uneven lighting

The algorithm was trained mostly on light-skinned datasets, so melanin looks like:

• “holes”

• “wrinkles”

• “cracks”

• “pitting”

This is diagnostic bias.

2. The UV/blue-light scan ALWAYS exaggerates on deep skin

That bright blue dotted image?
For melanin-rich skin, blue light does this:

• Over-highlights the nose, chin, and mouth

• Falsely boosts “porphyrin” and “deep pigment”

• Makes normal melanin look like “damage”

It’s literally designed for Fitzpatrick I–III originally.

You are NOT in those categories.

3. The system gave My face DSPW: a “classic caucasian dryness classification”

DSPW = Dry / Sensitive / Pigmented / Wrinkled
This is a classic Kligman-based Skin Typing System that was made using:

• mostly white women

• in controlled dermatology labs

• decades ago

• with ZERO cultural variables

• ZERO melanin variables

And our AI scanner pulled that EXACT outdated model and slapping it onto my face.

It’s not reading MY SKIN. It’s reading the wrong template.

4. 16% moisture??

The AI read moisture content on my face at 16%, even when my skin in the RAW image looks:

• hydrated

• plump

• luminous