Kristen Ruby Profile picture
Feb 27, 2023 15 tweets 5 min read Read on X
Developing a Federal #AI Standards Engagement Plan🧵
The Former Director of Twitters Responsible Machine Learning META division worked at Accenture.

Let's review some highlights from the below doc:

nist.gov/system/files/d…
"We encourage the United States government to adopt a similar whole-of-government approach" Image
This paragraph on adversial attacks with #NLP sounds familiar.

It almost sounds like.. exactly what I reported in The Ruby Files re how Twitter weaponized NLP.

Adversial NLP attacks can come from within the organization - the bad actor is *not* always external. Image
Machine Learning Warfare:

"The model misinterprets the content of the image and misclassifies it. An attacker can tailor the expected behavior of an algorithm to achieve a number of outcomes." Image
"Adversial #AI targets areas of the attack surface that have never previously had to be secured, the AI models themselves.

From now on, organizations need to include these in their security budgets- or risk them being exploited by attackers." Image
"Poisoned training data" Image
"We would support NIST developing a sandboxing scheme for AI"

"....test and pilot AI algorithms and tools..." Image
Next, let's review some highlights in the academic research paper: Image
If you read the research paper carefully, you will notice a common pattern emerge.

Policy rec. in the name of AI fairness- and a rec. to change results of the model if the output does not align w/ their definition of "fairness."

This is not academic research. It is activism. Image
Machine Learning- Communism 3.0

"While equal opportunity is enforceable." Image
In The #RubyFiles data- another pattern emerges.

NIST was repeatedly flagged as an N-Gram in the government agency category.

Why was Twitter using Machine Learning to monitor for NIST mentions? Image
Do you understand how dangerous this is?

AI “ethicists” have completely circumvented elected officials for well over 5 years now to implement whatever aligns w/ their worldview.

All in the name of “AI fairness”
I want to be clear in my language on this. When I say they- I am referring to a small group of people in ML who have hijacked the tech for nefarious purposes. I am not referring to the entire industry. There are many other people doing great work and find this deplorable.
I believe in the power of AI/ML. I want America to win the AI war. But we won’t lead with nefarious actors infiltrating the government.

They are using ML as a weapon to deploy personal ethics in the name of “AI fairness.”

It is unethical, immoral, and in any other industry-… twitter.com/i/web/status/1…

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More from @sparklingruby

Jul 15
I am investigating American Glass Research. What do we know about this company?
What do we know about Indicor?
I want to see the most recent property records for this building over the last 12 months.
Read 11 tweets
Jun 3
I handed my most important Ruby files to Mike Benz believing he actually cared about the country.

First, he asked if he could share my files with his Intel friends at NSA. Next, he introduced me to John Solomon.

Benz promised to cover The Ruby Files. Instead - he buried my work and proceeded to come up with excuse after excuse as to why he couldn’t.

Next thing I know - he’s on Tucker Carlson and being called the top AI Censorship expert in the world.

He blocked me when I called him out and never spoke to me again.
I was told that my Ruby Files reporting would be on Hannity.

I was also told I basically needed to work with them and do it their way. Something felt off about all of it. I didn’t proceed.

My work was never on Hannity.

My life continued to get worse and worse.

Why? Because they knew what I had and I refused to play ball.
I have stayed silent about this for over a year. I will continue to stay silent about the worst parts of this because I don’t want to deal with this litigious gang of mobsters. Trust me when I say that these are not good people. I am not crazy. They could make any decent person look crazy. This is what they are best at.
Read 10 tweets
May 29
What am I looking at here?

Thousands of pages from Google's internal Content API Warehouse detailing over 14,014 attributes related to Google's ranking systems. The screenshots I posted are from those files.

Why does this matter? What is the context?

Two of the attributes include signals related to Covid authority and election scoring.

So what?

This potentially means Google had an internal config for domain level authority scoring pertaining to elections and vaccines.

Who cares?

People interested in the topic of Internet censorship should ideally care.
Read 5 tweets
May 26
Today is a great day to investigate what really happened to Scott Peikin.
Mikes family is not just an “Internet family.” They were involved with the actual creation of the Internet.
Scott was found dead a month later. Image
Read 44 tweets
Feb 3

Image
Image
Actually Michael it’s the other way around. Which is why he is working for you. How did all the journalists obtain the source docs you speak of? Where did the “scoops” really come from? Image
Image
Read 9 tweets
Feb 2
Shout out to The OG Twitter Files written in 2011.

“How do you establish trends and how do you then capture that in an intelligence product?” Image
2011: DHS considers Twitter for intel:

politico.com/story/2011/11/…
“Instant social media reports” aka instant intelligence reports. The only thing that has changed is the role of citizen investigators.
Read 7 tweets

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