Jun 29, 202614 minS2
Using John Rawls’s theory of justice as fairness , we examine whether a society that willfully eliminates the conditions for meaningful work can be considered just, regardless of how many new jobs it creates.
society
Machines & Meaning
Hosted by Angel Evan · society · EN
About this Podcast:
Machines & Meaning examines artificial intelligence through the lens of different philosophers to understand how AI technology shapes human experience. Created for curious, thoughtful people who want to move beyond simplistic "AI is good" or "AI is bad" narratives, each episode takes a key concept from a philosopher and uses it to examine a specific aspect of AI technology and its impact on human life. While the show assumes listeners are familiar with current AI developments, it doesn't require technical knowledge. The series aims to help listeners develop a deeper understanding of how these technologies are changing how we think, behave, and relate to one another by bringing philosophical insights into conversation with modern AI developments.
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Contact path
Public web form
Booking probability
27%
Guest openness
Selective
80/100
Required Score
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What is Machines & Meaning about?
Machines & Meaning examines artificial intelligence through the lens of different philosophers to understand how AI technology shapes human experience.
Who hosts Machines & Meaning?
Machines & Meaning is hosted by Angel Evan. The show has published 14 episodes to date.
What has Machines & Meaning covered recently?
Recent episodes include "John Rawls and the Right to Meaningful Work" (29 June 2026, 14 minutes), "Ayn Rand and the Dark Side of AI Efficiency" (16 March 2026, 16 minutes), and "Ibn Khaldun’s Warning: When Tools Become Purposes" (22 December 2025, 12 minutes).
How often does Machines & Meaning publish?
Machines & Meaning publishes roughly monthly, with episodes averaging 14 minutes across 14 episodes.
How hard is it to get booked on Machines & Meaning?
Booking probability for Machines & Meaning is 27%, and the host is rated Selective on guests. Machines & Meaning requires a Pod Score of 80 or higher. Machines & Meaning's contact route on record: public web form.
Who should pitch Machines & Meaning?
The strongest fits for Machines & Meaning are IT Services & Software Development and Scientific Research & Development. Machines & Meaning has a society audience.
About the host
Angel Evan hosts Machines & Meaning, a society podcast with 14 episodes published.
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Recent episodes
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Mar 16, 202616 minS2Using Ayn Rand’s philosophy of Objectivism, we examine how AI’s efficiency gains are made possible by ignoring the quiet awareness of claiming skills we don’t fully possess.
Dec 22, 202512 minS1Episode Description: Using Ibn Khaldun’s concept of asabiyyah (ah-sa-BEE-yah), a word derived from Arabic that roughly translates to tribal solidarity or social cohesion, we examine how AI is being rhetorically elevated...
Nov 11, 202515 minS1Using Miranda Fricker’s concept of testimonial injustice, we examine how AI creates new hierarchies of who gets taken seriously and how the credibility we assign (or don’t) affect people’s lives.
Oct 13, 202515 minS1Exploring how Kierkegaard’s three spheres of existence reveal why AI might be creating the most sophisticated trap for authentic human development by appearing to create fulfillment while preventing genuine growth.
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Sep 8, 202513 minS1Exploring how Hannah Arendt’s concept of “thoughtlessness” reveals why AI systems create the perfect conditions for systematic harm that emerge from widespread non-engagement with consequences.
Aug 4, 202514 minS1Exploring how Aristotle’s concept of practical wisdom reveals the meta-cognitive skills professionals will need to remain valuable in an age when AI can perform most technical tasks.
Jul 1, 202513 minS1Exploring how artificial intelligence systematically undermines the conditions necessary for developing human expertise, creating what we might call “permanent intermediates,” people who achieve functional competence...
Jun 1, 202514 minS1Exploring how Thomas Aquinas’ Doctrine of Double Effect helps us understand our complex relationship with AI’s unintended consequences.
May 1, 202516 minS1Exploring how Immanuel Kant’s concept of the categorical imperative parallels our current challenge of creating immutable ethical rules for artificial intelligence.
Apr 1, 202515 minS1Using Simone de Beauvoir’s philosophical framework on categorization, we examine how rigid binary thinking and over-compartmentalization limit our ability to understand and govern A.I.
Mar 2, 202515 minS1Using Descartes’ framework for how we acquire knowledge, we examine what happens when AI reasoning models confront problems where mathematical certainty isn’t enough.
Feb 3, 202512 minS1We explore Lewis Mumford’s concept of ‘technics’ to answer an essential question in AI: are we creating technologies that adapt to serve human needs, or are we increasingly adapting ourselves to serve theirs?
Dec 31, 202412 minS1We explore Alisdair MacIntyre’s concept of narrative fragmentation and whether large language models (LLMs) contribute to it through their underlying architecture.
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