What “Gender Shades” Was Not

Mr. Owl, how many licks does it take to get to the Tootsie Roll center of a Tootsie Pop?

A good question. Let’s find out. One, two, three…(bites) three.

From YouTube.

If you think Mr. Owl’s conclusion was flawed, let’s look at Google.

One, two, three…three

I was researching the Monk Skin Tone Scale for a future Bredemarket blog post, but before I share that post I have to respond to an inaccurate statement from Google.

Google began its page “Developing the Monk Skin Tone Scale” with the following statement:

In 2018, the pioneering Gender Shades study demonstrated that commercial, facial-analysis APIs perform substantially worse on images of people of color and women.

Um…no it didn’t.

I will give Google props for using the phrase “facial-analysis,” which clarifies that Gender Shades was an exercise in categorization, not individualization.

But to say that Gender Shades “demonstrated that commercial, facial-analysis APIs perform substantially worse” in certain situations is an ever-so-slight exaggeration.

Kind of like saying that a bad experience at a Mexican restaurant in Lusk, Wyoming demonstrates that all Mexican restaurants are bad.

How? I’ve said this before:

The Gender Shades study evaluated only three algorithms: one from IBM, one from Microsoft, and one from Face++. It did not evaluate the hundreds of other facial recognition algorithms that existed in 2018 when the study was released.

So to conclude that all facial classification algorithms perform substantially worse cannot be supported…because in 2018 the other algorithms weren’t tested.

One, two, three…one hundred and eighty nine

In 2019, NIST tested 189 software algorithms from 99 developers for demographic bias, and has continued to test for demographic bias since.

In these tests, vendors volunteer to have NIST test their algorithms for demographic bias.

Guess which three vendors have NOT submitted their algorithms to NIST for testing?

You guessed it: IBM, Microsoft, and Face++.

Anyway, more on the Monk Skin Tone Scale here, but I had to share this.

Ubiquity Via Focus…On Where?

So Bredemarket’s talking about “ubiquity via focus”?

Focus on where?

On the Bredemarket blog, your source for the latest identity/biometric and technology news.

And your source for the most up-to-date information on Bredemarket’s content-proposal-analysis services.

Be sure to visit https://bredemarket.com/blog/

Or better yet, subscribe at https://bredemarket.com/subscribe-to-bredemarket/

Simeio: Identity is the Perimeter of Cybersecurity

Simeio opened its monthly newsletter with a statement. Here is an excerpt:

“May spotlighted how even the most advanced enterprises are vulnerable when identity systems are fragmented, machine identities go unmanaged, and workflows rely too heavily on manual intervention—creating conditions ripe for risk. Enterprises need to get the message: identity is the perimeter of cybersecurity, and orchestration is the force multiplier. It’s time to learn how to effectively leverage it.”

Read the rest of Simeio’s newsletter on LinkedIn at https://www.linkedin.com/pulse/identity-matters-may-2025-identitywithsimeio-iby0e

Of course, there’s that interesting wrinkle of the identities of non-person entities, which may or may not be bound to human identities. Simeio, with its application onboarding solution, plays in the NPE space.

As for me, I need to start thinking about MY Bredemarket monthly LinkedIn newsletter (The Wildebeest Speaks) soon. June approaches. (Here’s the May edition if you missed it.)

Ubiquity Via Focus

Well, that’s done and over with.

So let’s move forward with the third year of the revived Bredemarket.

In case you missed it, Bredemarket provides content-proposal-analysis services for identity/biometric and technology firms by means of standard writing offerings.

And Bredemarket will improve its capabilities to serve you…by the means of ubiquity via focus.

No, Bredemarket isn’t ready to reveal what “ubiquity via focus” is yet…but I think you’ll figure it out.

Ubiquity Via Focus.

Two Years

On May 30, 2023 I wrote a post in the Bredemarket blog, announcing an increase in Bredemarket’s business hours to full time.

I also announced a change in scope.

“If you need a consultant for marketing or proposal work, and your company is involved in the identification of individuals, Bredemarket can accept the work.”

Because…I learned at 7:30 that morning that my individual identification employer was no longer my employer. Several of us lost our jobs that day.

As it turns out, my view of my employment future was overly optimistic.

“Maybe I’ll find a new full-time position in a couple of weeks, and I’ll again have to reduce hours and scope.”

As it ended up, I didn’t…and I haven’t.

Your credentials are too impressive, so we are moving in a different direction.

And I’m paying full price for my healthcare—no employer subsidy.

Your opportunity remains.

Bredemarket has openings.

(Pictures not from Craiyon, but from Imagen 4.)

Evading State Taxes: Non-Person Automotive Entities and Geolocation

When a person is born in the United States, they obtain identifiers such as a name and a Social Security Number.

When a non-person entity is “born,” it gets identifiers also. For automobiles, the two most common ones are a Vehicle Identification Number (VIN) and a license plate number. (There is also title, which I’ve discussed before, but that’s not really an identifier.)

In my country license plates and the associated vehicle registrations, like driver’s licenses, are issued at the state level. Montana, for example, has 2.3 million registered vehicles…which is odd, because the state only has 879,000 licensed drivers.

How can this be? Jalopnik explains:

“All that wealthy car owners have to do is spend around $1,000 to open an LLC in Montana, then use the LLC to purchase a car with no sales tax — and said car is not subject to vehicle inspections or emissions testing.”

That explains things. The Montana LLCs need multiple cars for all their LLC-related travel between Billings, Bozeman, and Butte. That’s a ton of miles on the Montana highways.

Um…no.

“According to Bloomberg, former Montana revenue director Dan Bucks said there are likely more than 600,000 vehicles registered in Montana but operated in other states.”

Like California. Where people don’t want to pay the fees associated with vehicle registration here, so they say their vehicles are Montana vehicles. Only problem is, license plate readers on California freeways can identify the movements of a car with Montana plates. And if that “Montana” car is moving in California, expect a visit from the tax authority.

But it’s not just the money hungry loony liberal Commies in California. Jalopnik reports that the money hungry loony liberal Commies in…um…Utah are mad also.

“This is really an abuse of our tax system,” said Utah tax commissioner John Valentine. “They pay nothing to support our state, just a small fee to Montana for the opportunity to evade taxes in Utah.”

Because in the end it doesn’t matter if you’re blue or red. What matters is the green. And the geolocation.

(2002 Ford Excursion image public domain)

Video Analytics is Nothing New or Special

There is nothing new under the sun, despite the MIT Technology Review’s trumpeting of the “new way” to track people. 

The underlying article is gated, but here is what the public summary says:

“Police and federal agencies have found a controversial new way to skirt the growing patchwork of laws that curb how they use facial recognition: an AI model that can track people based on attributes like body size, gender, hair color and style, clothing, and accessories.

“The tool, called Track and built by the video analytics company Veritone, is used by 400 customers….”

Video analytics is nothing new. Viewing a picture of a particular backpack was a critical investigative lead after the Boston Marathon bombing. Two years later, I was adapting Morpho’s video analytics tool (now IDEMIA’s Augmented Vision) to U.S. use.

And it’s important to note that this is not strictly an IDENTIFICATION tool. Just because a tool finds someone with a particular body size, gender, hair color and style, clothing, and accessories means nothing. Hundreds of people may share those same attributes.

But when you combine them with an INDIVIDUALIZATION tool such as facial recognition…only then can you uniquely identify someone. (Augmented Vision can do this.)

And if facial recognition itself is only useful as an investigative lead…then video analytics without facial recognition is also only useful as an investigative lead.

Yawn.

(Imagen 3)

Identity Management Platform Frontegg.ai

From HelpNet Security:

“Frontegg launched Frontegg.ai, an identity management platform purpose-built for developers building AI agents….

“[D]evelopers are running into a major roadblock: a lack of identity standards tailored specifically for AI agents. Existing infrastructure was not designed with autonomous agents in mind. When building an AI agent, developers are forced to waste valuable time stitching together ad-hoc authentication flows, security frameworks, and integration mechanisms….

“In an AI‑first world, identity can’t be retrofitted from traditional web and mobile stacks. It needs to be purpose-built for AI agents. Frontegg.ai provides that layer for agent builders…”

(Imagen 3)

Enrolling in the Amazon One Palm System via Smartphone

I think I’ve already mentioned that the Amazon Fresh in Upland, California is holding its grand opening in about an hour.

So I figured I should pre-investigate what was necessary to enroll in the Amazon One palm vein system once I arrived at the store.

My first discovery was that Amazon One has its own app, separate from the Amazon app. I don’t know how many apps Amazon has, but if Amazon and Meta ever merge (Amameta?), I will need a separate phone just for its apps.

So I downloaded Amazon One, linked it to my Amazon account, and waited for the instructions on how to enroll my palm at an Amazon location…

…only to find that Amazon One wanted to take pictures of both my palms, right there on my smartphone. Just like any contactless fingerprint app.

Enrolled in Amazon One.

So I am now enrolled, and I have confirmed that my local Amazon Fresh accepts Amazon Go.

Um…that is not East Foothill.

However, as even non-locals will realize, this is NOT 235 East Foothill, but WEST Foothill. So much for geolocation. (And the location of the Madonna of the Trail statue is wrong also, but I digress.)

Now let’s see if it all works.