AI supremacy refers to the hypothetical future state in which an artificial intelligence system surpasses human intelligence in all intellectual tasks, leading to a significant shift in the balance of power between humans and machines.
Are you interested in the intersection of AI in government and domestic US policy? Ruby has a deep understanding of the complex relationship between technology, politics, and society. Gain valuable insights into AI nationalism for government policy and domestic affairs in the United States.
Ruby is an AI expert with a deep understanding of natural language processing and its role in moderating online content. Gain valuable insights into the challenges and opportunities presented by social media content moderation in the age of AI.
machine learning ip thefT
The rising threat of IP theft in Machine Learning is real. Kris has a deep understanding of the intellectual property issues that arise from AI- and the future threat this poses for creators.
Are you concerned about the impact of AI domestic censorship on free speech and civil liberties? Kris can provide valuable insights on the implications of social media censorship driven by machine learning and natural language processing.
How to lead and win the AI war. Are you ready to lead and win the domestic AI war? Kris can provide valuable insights on how to navigate the rapidly-evolving AI landscape to come out on top.
Digital Transformation: How to Lead & Win the AI War
AI & Machine Learning: The Future of Social Media Moderation
AI Censorship in Content Moderation: Twitter Case Study
Content Marketing: How AI is transforming the future of content
The Politics of Social Media & Big Tech
Dataset Poisoning: The Unintended Consequences of Rogue Models
Domestic Censorship with Natural Language Processing
AI-Enabled Warfare & Emerging Threats: Risk Analysis
The Ruby Files: The investigation into Twitters Machine Learning, Election Integrity, & Free Speech
AI Cancel Culture: How to get erased from the knowledge graph
AI Hypocrisy: Why do facts always seem to lean one way when it comes to AI- generated output? Why political diversity is necessary in data science
IP: The emerging risks of being used in training data when you never consented to begin with.
NLP: The 2020 Silent Machine Learning War you never heard of.
AI & Law Enforcement: How your AI prompts are being tracked. An inside look.
AI Agency Automation: Evaluating the risks of automated Marketing & PR firms. The business of AI. Who benefits?
AI Legislation: How Congress is scrambling to keep up with domestic AI threats
AI Nationalism: The race between China & The United States regain tech leadership in Machine Learning.
Experimental AI: As the AI race heats up, what are the unintended consequences and collateral damage?
ABOUT KRIS RUBY
AI / Social Media Expert Kris Ruby reveals how Twitter censored political content at scale with natural language processing keyword lists, machine learning, and AI.
Kris Ruby is the CEO of Ruby Media Group, an award-winning social media agency. Kris is an expert in all things Artificial Intelligence, Machine Learning, Social Media, PR and the politics of big tech.
Ruby is an entrepreneurial leader in Americas development of emerging technologies including artificial intelligence (AI) and machine learning (ML). Her investigative journalism work on Twitters use of natural language processing titled #RubyFiles was recently referenced by Elon Musk as “worth a read.”
As an international media commentator, she is frequently called on by media outlets around the world to provide expert insight and analysis on the intersection of social media surveillance, policy, and law. Her groundbreaking investigative reporting caught the attention of policy makers and elected officials all over the globe.
Artificial Intelligence, NLP & The Future of Social Media Content Moderation
Kristen Ruby is an expert in the politics of social media and artificial intelligence.
Kris’ investigative work is titled #RubyFiles and you can find a series of natural language processing (NLP) N-Grams (keyword lists) used in Twitters Machine learning algorithm in U.S. political misinformation in her article.
The Ruby Files reveals an inside look at how Twitter used machine learning to censor speech with NLP and moderate political content.
Ruby exposed a bombshell on how Twitter used artificial intelligence to moderate and flag political content as misinformation.
Ruby uncovered how Twitter uses machine learning and natural language processing to tag content as political misinformation through a series of algorithmic scores.
She has been called a pioneer in AI by industry leaders. Her work helps readers understand how the left uses artificial intelligence and data science to rewrite language, public policy, and the future of speech. This results in algorithmic political bias and weaponized language deployed with natural language processing filters for toxicity and "misinformation."
Follow Kris Ruby on Twitter @sparklingruby to read her reporting on Twitter.
What are The Ruby Files?
The Ruby Files are a series of reports from Kris Ruby, a social media tech analyst, which examine the Twitter dataset used for machine learning and AI. The reporting by Ruby provide an in-depth look at the data and how it is used to classify content, as well as how Twitter’s machine learning algorithms detect political misinformation.
Her reporting also includes a list of the words used in the machine learning algorithm at Twitter, which identified content as political misinformation and targeted further content review- either by a human or a machine. In The Ruby Files, Kristen Ruby revealed an exclusive never before seen series of natural language processing (NLP) N-Grams deployed in Twitters U.S. political misinformation Machine learning algorithm.
In her investigative reporting, Ruby uncovered how Twitter uses machine learning and natural language processing to flag content as political misinformation through a series of algorithmic scores. Her reporting also includes a list of the words used in the machine learning algorithm at Twitter, which identified content as political misinformation and targeted further content review- either by a human or a machine.
Kris Ruby’s undercover investigative journalism work caught the attention of Elon Musk. Elon Musk shared on Twitter that her thread was “worth a read.”
After Kris said to Musk, “Can I release the unreacted files- yes or no?” Musk replied to Kris Ruby on Twitter and said, “If you leave out contact information and names of junior employees, then yes.”
Investigative Journalist & Social Media Strategist Kristen Ruby was the first to blow the whistle on AI Censorship. Ruby was the first to break this story in December 2022 before AI entered the mainstream conversation. She issued a dire warning about the dangers of automated AI content governance at scale.
In 2022, Ruby also alleged that the real reason Musk purchased Twitter had nothing to do with free speech, but rather, for unprecedented access to training data. One year later, Musk confirmed that tweets will be used for AI training data. Social media influencers turned a blind eye and ignored Ruby’s warnings.
Despite having access to The Ruby Files, several of these self-proclaimed authorities on domestic censorship refused to report on The Ruby Files. Ultimately, the largest censors of truth are those who claim to fight censorship.
THE RUBY FILES: AI CENSORSHIP & THE DEATH OF FREE SPEECH
How can Artificial Intelligence be used to censor political opponents and what role will AI play in shaping the future of language?
In The Ruby Files, Kris Ruby revealed how Machine Learning can be used by big tech to circumvent the first amendment.
In a thirty-thousand-word expose dubbed The Ruby Files, Kris Ruby exposed how Twitter used artificial intelligence to moderate and flag political content as misinformation.
In the era of misinformation where truth is politicized and sold to the highest bidder, AI will play a critical role in how speech is censored at scale.
Unelected data scientists are now the ultimate arbiters of truth, algorithmically determining rules and classifications that largely remain invisible to the public.
Artificial intelligence can be misused to create algorithmic political bias and weaponized language rules.
But just how far does this go and can we really ever have free speech if we have unelected data scientists controlling the levers of words, safety labels, and model weights with artificial intelligence?
The answer, according to Kristen Ruby, is a resounding no. Speech is not free if you do not show American citizens how machine learning can be used to rewrite language. Ruby was the first to break this story.
In The Ruby Files, Kris Ruby blew the whistle on how Twitter deployed Natural Language Processing (NLP) to censor speech at scale.
Ruby provided an in-depth look at the inner workings of Twitter's Machine Learning model and how it classified language, often incorrectly, and the impact this had on everything from global elections to critical health information.
Twitter’s machine learning algorithms scanned tweets to detect political misinformation. Unfortunately, real information was often misclassified as misinformation. This is the consequence of automating content moderation to machines instead of humans.
While most people think this is a domestic censorship directive, what they fail to realize is that AI will become the new global head of trust and safety.
When you outsource content moderation to AI, AI can pattern match and begin to classify content on its own, often with little human intervention.
What happens when we no longer have a human in the loop?
Read The Ruby Files to find out the unintended consequences of AI content moderation gone wrong.
Read The Ruby Files to learn:
How did Twitter use NLP and AI to moderate content?
How can AI be weaponized by the left?
What are the dangers of AI?
How can conservatives win the AI war?
What role did academic researchers play in the word list creation?
"Worth a Read"
Elon Musk | CEO | X Corp.
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