Category Archives: rants

The 1-Step Guide to Responsible AI in Procurement

Forbes recently published an article on Responsible AI Procurement: A Practical Guide For Selecting Trustworthy AI Vendors. It wasn’t bad, but it missed the point.

Today, there’s only one way to responsibly address AI in Procurement.

JUST SAY NO!

1) We don’t really understand proper AI Governance (especially when most vendors are using third parties which are illegally scarping content, not checking for bias, and tweaking models on the fly without consideration for the new problems the on-the-fly tweaks will cause).

Plus, it’s not just ethical codes of conduct, it’s agreeing on what the ethics are, and, most importantly, making sure the models are transparent and unbiased — but we don’t know how to do that today, especially since all these models are huge black box models.

2) You can demand all the evidence you want from the vendor as backup for the vendor claims, but if you can’t verify it, how can you trust it?

3) These models require huge datasets to train. Even if you know the data set used and the processing method used, how can you be sure every element was properly vetted? Just like one bad apple can spoil the bunch, just one bad element in a clustering or optimization model can spoil the entire model. Just one!  It only takes a small amount of bad data to spoil a model, regardless of the model used.

4) These models can fail, and sometimes fail spectacularly. If you don’t understand the model, you don’t understand where it can fail, and thus what to look for. Also, many minor incidents (which can foretell future catastrophic failures) will go unnoticed if a human isn’t checking everything.

5) These models are not secure … the AI can leak any training data at any time without warning. Your vendor can have every security certification under the sun, and all will be for naught if they use LLMs.

So, JUST SAY NO!

Yes, McKinsey This Is Generative AI’s break out year, BUT:

We should NOT be celebrating the fact that it broke out of the prison it should be contained in only to:

So, even if your Global Survey confirms the explosive growth of AI, you should not be celebrating Generative AI’s breakout year and hold off celebrating until someone manages to put this destructive brain-dead genie we’ve unleashed back into the bottle it was released from!

DO NOT CONFUSE THE ILLUSION OF UNDERSTANDING WITH ACTUAL UNDERSTANDING!

Because if you do, you will believe AI is Actually Intelligent when, in fact, as we have pointed out again and again and again, it is Artificial Idiocy, and the best modern technology only uses AI for thunking, not thinking, as thinking needs to remain the domain of us humans (before X robs us of our ability to use actual words).

Not only is there no AI, but when you type a command, there isn’t even any understanding by the algorithm of what you are asking for when you type a query into an AI tool. NONE. It’s all based on a statistical algorithm that uses pre-computed similarity probabilities to infer what you are asking. That’s not understanding. Not even close.

The Guardian recently published a long read article on Weizenbaum’s nightmares: how the inventor of the first chatbot turned against AI that anyone who is even mildly contemplating an AI tool needs to read. Slowly and carefully. Three times.

Weizenbaum, who was a mathematician, computer scientist, and a student of psychoanalysis, was one of the founders of modern artificial intelligence who not only invented the first chatbot (Eliza), but also built early (mainframe) computers (back when they used vacuum tubes and took up entire rooms) for the University he was studying at, General Electric, and the Navy. In the 1960s, he was part of Project MAC at MIT, a Pentagon program for “machine aided cognition” that perfected time-sharing, created in-system messaging (like instant messaging or early email), and created new tools for word processing.

He was also one of the first to think about the implications of Artificial Intelligence years, if not decades, before anyone else and one of the founders of computer ethics. He was a genius, and when he said that Artificial Intelligence is an “index of the insanity of our world“, he was totally right — and he was right five decades before AI became the buzz-acronym-du-jour. Few people effectively saw that far ahead in technology, so maybe we should sit back and listen. Carefully.

So please take the time to read Weizenbaum’s nightmares: how the inventor of the first chatbot turned against AI and realize that AI is not the answer. Deterministic algorithms developed by smart people that have studied the problem, tested their assumptions, and been consistently proven reliable are the answer. They may be based on machine learning, but machine learning that is expertly selected, tuned, and monitored by validation code that detects when the algorithm is not performing to expectation and interjects a human into the process. Not a multi-layered pseudo-random statistical algorithm that randomly predicts the next seven days worth of orders, starting on Monday, are 210, 198, 307, 250, 185, 250, and 3095 and thinks everything is A-OK even though the store is closed on Sunday.

There’s No Nearshoring Revolution on the Horizon!

the doctor recently saw a headline that the nearshoring revolution is just beginning, and while he wishes this were true (as he’s been preaching the need for a nearshoring revolution since Sourcing Innovation started, which, for those keeping track, was 17 years ago), it’s not.

A few progressive thought-leading innovators are doing it, but a few is not a revolution. It’s just a few people and organizations who are both willing to do the right thing and wealthy enough to
a) pay for all the upfront costs (where the return may not be recouped for years) involved in shifting a supply chain, bringing new factories online or upgrading those that have been offline for years (or decades) and
b) not be beholden to investors, shareholders, or Wall Street demanding profits now.

The reality is that reorganizing supply chains has a large upfront cost and when most corporations are beholden to shareholders who want profit now, Private Equity firms who want profit now, and Venture Capitalists who want profit now, the last thing they want is upfront cost. They want margin, and the best margins are finding the lowest cost of supply out there and using that, even if it means continuing to source from halfway around the world with all the risks involved (and the losses that would accompany any of those risks), especially if you can buy supply chain insurance at a reasonable cost.

As long as the backward-thinking financial models and economics continue to focus on profit over value or true wealth creation, nearshoring is going to face the same obstacles that Corporate Social Responsibility and Sustainability has faced for the last two decades where everyone says they want it, but unless legally mandated, no one is willing to pay for it. the doctor is aware of multiple surveys that have been conducted in this area over the last couple of decades and while a majority of respondents will say it’s top priority, the majority will not even pay 3% more for a more sustainable product or service as the success criteria they are eventually measured on in Procurement is total “savings” (regardless of the long term cost to society).

The reality is that most corporations bought into the Big outsourcing push of the 1980s and 1990s because their managers and primary shareholders were greedy and wanted profits sooner rather than later, and while that mentality persists, they’re not going to be willing to absorb the upfront costs of shifting back. To truly fix the supply chains, which is as simple as “F*CK China” in the Americas and “F*Ck the Americas” in China as the doctor pointed out in his recent post on how you reconfigure the global supply chain, you need a no upfront cost solution for organizations to switch back, or a value proposition beyond assurance of supply.

In the United States of America, for this to happen the MAGA crowd, instead of wasting all their efforts trying to take away basic human rights away from their citizens (while they are simultaneously trying to put an angry grandpa back in office and hide the huge “gifts” they are getting from certain parties that benefit greatly from laws they pass or block), needs to focus on solutions to actually bring the jobs they are claiming to fight for back to the Americas, which could include:

  • interest free loans for building supply chain infrastructure such as factories, distribution hubs, ports, etc.
  • free, or heavily subsidized, training for Americans to do these jobs
  • higher tariffs on any
    imported products that are produced at sufficient volumes in America to satisfy the American market
  • higher taxes on any
    exported products that should be sold at home

Unless the value is created, or China Sourcing is banned wherever products could be sourced from the USA, Canada, Mexico, or friendly Central/South American states, the nearshoring revolution will not happen. There’s no incentive for it to happen, and no Tribore Menendez taking up the charge!

X

… Logged into Twitter just the other day
Just saw a Big X, seems the bird had flown away
It had two lines and one was double wide
I knew the letter, but I just could not surmise
… Musk didn’t leave a number, not an picture or a clue
But something in that pictogram reminded me of coup

Baby, Musk put the X on top
Voided years of trust and it makes me wanna stop
Baby, Musk put the X on top
Twitter’s going bye-bye, baby, ’cause the branding’s gonna flop

… I saw a sign in the middle of the night
Big flashing X, I was blinded by the light
She said “Oh yeah, you don’t want to be here
I asked who was calling, but she just hung up in fear
… Sometimes you gotta suffer for the network that you seek
You’re beggin’ for connection but you only want to shriek

Baby, Musk put the X on top
Voided years of trust and it makes me wanna stop
Baby, Musk put the X on top
He thinks he is a master, but he just can’t compare to Aesop
… Oh yeah

I heard an app a-beepin’ so I clicked into the pane
It showed icons, pics, emojis, it’s like it was built to feign
It said that it was “happening“, but it didn’t give a clue
Then I saw that white on black X and I knew that we were screwed!

Baby, Musk put the X on top
Words have been displaced and our IQ’s* gonna drop
Baby, Musk put the X on top
A digital nightmare, it’s the new-age online horror shop!

… with sincere apologies to KISS.

* It’s Official! Twitter Has Made Us Dumber Than Goldfish!
Who’s Smarter? A Twitterer or a Pothead?
Has Twitter Already Turned Too Many Into Twits
Twitter Will Make a Twit Out Of You!