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Curated by: Ontology Explained: Philosophy and AI (109 videos)

Currently Playing: Podcast Appearance on Knowledge Graph Insights with Larry Swanson

I'm on a podcast! Larry Swanson at Knowledge Graph Insights asked if I'd join him for a conversation on philosophy and ontology, and I was thrilled to do so. If you like my channel's content, you'll probably enjoy this podcast. Go check it out! https://youtu.be/siqwNncPPBw?si=OPR6-lP-2qBffPsF You can also find it on his website in audio and text format: https://knowledgegraphinsights.com/casey-hart/

Tracks in this Playlist

Is AI Safety Just Alchemy? A Philosopher Reads “If Anyone Builds It,” Ch. 11
I Tested Positive for Pregnancy. I’m Not Pregnant. (The Base Rate Fallacy)
Bayesian Epistemology Explained: Why Belief Isn’t All-or-Nothing
Is Building Superintelligence a “Cursed Problem”? | If Anyone Builds It, Everyone Dies Ch. 10
Can We Control Superintelligence? | Analyzing Cal Newport's Arguments
What If AI Actually Tried to Kill Us? | Section II of If Anyone Builds It...
Can the Liar Paradox Prove AI Can't Be Controlled?
Can Humanity Conquer a Rogue ASI? | Chapter 6
Tu Quoque Explained: The Fallacy of Hypocrisy
Will Superintelligent AI Want to Kill Us? | Chapter 5
Yudkowsky and Soares Needed an Editor | Chapter 4, Part 2 of If Anyone Builds It
Can We Predict What AI Will Want? | Yudkowsky & Soares Chapter 4 Part 1
Appeal to Ignorance: When “We Don’t Know” Goes Wrong
Do LLMs Really Understand? Examining Geoffrey Hinton's Arguments
Does AI Really Want Anything? | If Anyone Builds It... Chapter 3
Are AIs "Grown" or Built? Analyzing Chapter 2 of If Anyone Builds It, Everyone Dies
The Most Common Fallacy? | Affirming the Consequent
The Case for Superintelligence Is Surprisingly Thin | If Anyone Builds It... Chapter 1
You Shouldn't Let ChatGPT Write Your Emails
I Asked ChatGPT to Build an Ontology. Here's What Happened.
An Honest Breakdown of Eliezer Yudkowsky's AI Doom Book
If You Give a Mouse a Cookie... The Slippery Slope Fallacy
What Ontology Actually Is | Casey Reacts
Why AI Doom is Less Likely Than You Think | Response to Gasdive
Ontologists Should Take Their Own Medicine (KGC 2026 Talk)
My Experience at KGC 2026 | AI, Ontologies, and the “Year of Context”
Knowledge Engineers Rock: Keith Corbett
Heather Hedden: Are Taxonomists Ontologists (or Vice-Versa)?
An Ontologist Explains Themselves: Alex Shifrin
The Ship of Theseus Explained and Why It Matters for Data Modeling
Roko's Basilisk Explained (And Debunked!)
Can AI Think in a Private Language? Wittgenstein vs. GPT-6
What Chess Engines Teach Us About AI and Human Knowledge
AI: The Perfect Scapegoat for Corporate Layoffs
Epistemology Explained: Knowledge from Plato to AI
Merging Equivalent Concepts in OWL
SPARQL in Protege? Try This Instead
Situating Major Ethical Theories (And Applications for AI!)
Geoffrey Hinton is Wrong About AI Understanding
State of the Channel (End of 2025)
Ethics Explained: Applied, Normative, and Metaethics in 15 Minutes
Doomerism Explained: The Case AI Will End Humans
The Danger of Changing Levels: Fallacies of Composition and Division Explained
Do LLMs Actually Understand the World? (Spoiler: No.)
Pascal’s Wager Explained
Ontology FAQs: Five Questions I Always Get Asked
AI Explained: A Discipline, Minds, and the Messy Third Definition
The T-Box/A-Box Myth — And What Quine Can Teach Ontologists
The Alignment Problem Explained
Goals: Are they for LLMs, Cats, and Thermostats?
The Red Herring Fallacy: Don’t Get Distracted!
How Much Does Your Ontology Really Know?
Thought Experiment: How Intelligent Are Mushrooms?
Chess Openings Import: [Chess #5]
Newcomb’s Problem Explained: One Box Or Two?
How to Pivot Into Ontology: Jobs, Skills, and the Future of the Field
The Philosophers Fallacy!? (Let's call it 'Blueprint Bias')
Why I Use Emacs for Ontologies (and How to Memorize a HUGE Knowledge Graph) [AMA #1]
I'm Sick of the ASI Fear-Mongering (Hank Green's Video Made Me Rage, Featuring Nate Soares)
Let's Build A Chess Ontology #4
Channel Update #2
Ontology Stitching: How to Align/Merge Enterprise Knowledge Graphs (A Practical Guide)
Beyond True/False: A Practical Guide to Probabilistic Modeling in OWL and RDF
OWL Punning: Make Sure Your Ontology Isn't a Joke
Don't Be a Sheep: The Ad Populum Fallacy Explained
So, you want to be an ontologist? Here's what you do.
The Secret to Type-Level Claims: Avoiding Logic Errors in OWL
SPARQL Exploration: Querying Blind
The Ad Hominem Fallacy: Distracting Attacks
How I Became An Ontologist
The Principle of Charity: The Cure for the Straw Man Fallacy
Let's Build a Chess Ontology (Part 3)
SPARQL Inference Made Easy
Fallacies Explained: Why Bad Arguments Fail
The Spectrum of Artificial Intelligence: Def'n #4
Inference in Protégé
Let's Build a Chess Ontology (Part 2)
LLMs Don't Hallucinate -- They Make Mistakes
Inference
Let's Build a Chess Ontology (Part 1)
Logic Explained: The Philosophy of Arguments
Defining AI #3: Haugeland's GOFAI (minds in the literal sense)
Philosophy Explained: What is philosophy?
Synthetic Intelligence: Why Use "Artificial"?
Podcast Appearance on Knowledge Graph Insights with Larry Swanson
Defining AI #2: Intelligent Machines
Can OWL Handle Many-to-Many?
Labelled Property Graphs (LPGs)
Categories
Events in OWL/RDF
OWL Restrictions
The Dangers of Blank Nodes
Blank Nodes
Channel Update!
Defining AI #1: Turing's Thinking Machines
What is Artificial Intelligence? (I bet you don't know, either.)
XSD Terms You Need to Know
OWL Terms You Need to Know
RDFS Terms You Need to Know
RDF Terms You Need to Know