Ontology Explained

Ontology Explained

Philosophy & AI

Ontology Explained is a place that provides clear, interesting, and edifying discussions about topics involving philosophy and artificial intelligence.

After earning my PhD in philosophy, I found my way into AI as an ontologist. I'm here to evangelize, educate, demystify, and hopefully entertain viewers at the intersection of philosophy and AI. My videos will include general introductions to dense or interesting topics, tutorials to create your own ontologies, business insights into the value of technologies, and more philosophical things.

106 videos since October 2024, about 38 hours in all, citing 129 sources.

Newest video, Bayesian Epistemology Explained: Why Belief Isn’t All-or-Nothing

Series

10 playlists, the most recently updated first. Each runs in the order it was released.

If Anyone Analyzes It... Everyone Dies

9 videos, 4 hr 58 min

In this playlist, I go through Yudkowsky and Soares' book If Anyone Builds It, Everyone Dies. I'm starting out a skeptic, but we'll see where a charitable exegesis of the arguments leaves me (and you!).

You're welcome to read along, or just watch; I'll make sure there is enough context for everyone regardless.

  1. An Honest Breakdown of Eliezer Yudkowsky's AI Doom Book19:56
  2. The Case for Superintelligence Is Surprisingly Thin | If Anyone Builds It... Chapter 136:43
  3. Are AIs "Grown" or Built? Analyzing Chapter 2 of If Anyone Builds It, Everyone Dies44:15
  4. Does AI Really Want Anything? | If Anyone Builds It... Chapter 328:32
  5. Can We Predict What AI Will Want? | Yudkowsky & Soares Chapter 4 Part 130:39
  6. Yudkowsky and Soares Needed an Editor | Chapter 4, Part 2 of If Anyone Builds It33:23
  7. Will Superintelligent AI Want to Kill Us? | Chapter 538:27
  8. Can Humanity Conquer a Rogue ASI? | Chapter 626:40
  9. What If AI Actually Tried to Kill Us? | Section II of If Anyone Builds It...39:03

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Fallacies

11 videos, 2 hr 50 min

Want to reason better and spot flaws in others' arguments? Learn about fallacies, which are just common mistakes in reasoning. This playlist starts by defining fallacies, and then goes through the major ones, one fallacy at a time.

  1. Fallacies Explained: Why Bad Arguments Fail12:22
  2. The Principle of Charity: The Cure for the Straw Man Fallacy25:44
  3. The Ad Hominem Fallacy: Distracting Attacks12:34
  4. Don't Be a Sheep: The Ad Populum Fallacy Explained17:02
  5. The Philosophers Fallacy!? (Let's call it 'Blueprint Bias')14:49
  6. The Red Herring Fallacy: Don’t Get Distracted!19:16
  7. The Danger of Changing Levels: Fallacies of Composition and Division Explained16:03
  8. If You Give a Mouse a Cookie... The Slippery Slope Fallacy14:17
  9. The Most Common Fallacy? | Affirming the Consequent11:24
  10. Appeal to Ignorance: When “We Don’t Know” Goes Wrong10:49
  11. Tu Quoque Explained: The Fallacy of Hypocrisy15:14

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What is Artificial Intelligence?

6 videos, 1 hr 40 min

This playlist walks through a series of possible definitions for AI, unpacks them, questions them, and then discusses why they matter.

  1. What is Artificial Intelligence? (I bet you don't know, either.)15:11
  2. Defining AI #1: Turing's Thinking Machines15:40
  3. Defining AI #2: Intelligent Machines12:31
  4. Defining AI #3: Haugeland's GOFAI (minds in the literal sense)19:50
  5. The Spectrum of Artificial Intelligence: Def'n #416:47
  6. AI Explained: A Discipline, Minds, and the Messy Third Definition20:09

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Let's Build a Chess Ontology

5 videos, 3 hr 3 min

By the end of this series, you'll see a functioning domain ontology for chess. Even the goals for the ontology will be developed in time, so this is as close as it gets to a real world example of ontology development, from "soup to nuts" as they say.

  1. Let's Build a Chess Ontology (Part 1)26:26
  2. Let's Build a Chess Ontology (Part 2)42:12
  3. Let's Build a Chess Ontology (Part 3)39:44
  4. Let's Build A Chess Ontology #428:56
  5. Chess Openings Import: [Chess #5]45:19

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Ontology Terms You NEED To Know

5 videos, 43 min

Each video after the initial overview will target a particular vocabulary or subset of a vocabulary. These will put more tools in your ontological tool belt to build and understand ontologies. We'll start with the basics: RDF, RDFS, OWL, SKOS. Then eventually we'll broaden out to more niche terms.

  1. OWL Basics9:54
  2. RDF Terms You Need to Know7:41
  3. RDFS Terms You Need to Know9:26
  4. OWL Terms You Need to Know12:10
  5. XSD Terms You Need to Know4:04

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All videos

Newest first. Each video’s page has its description, any chapters, and every source it cites.

2026

2025

2024