Loading…
Hosted by Angel Evan · 🇺🇸 US · EN · 14 episodes
Established thought leaders with verified media credentials.
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.
Angel Evan hosts Machines & Meaning, a society show with 14 episodes published.
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.
Using 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.
Episode 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
Using 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.
Exploring 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.
Exploring 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.
Exploring 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.
Exploring how artificial intelligence systematically undermines the conditions necessary for developing human expertise, creating what we might call “permanent intermediates,” people who achieve functional competence but
Exploring how Thomas Aquinas’ Doctrine of Double Effect helps us understand our complex relationship with AI’s unintended consequences.
Exploring how Immanuel Kant’s concept of the categorical imperative parallels our current challenge of creating immutable ethical rules for artificial intelligence.
Using 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.
Using Descartes’ framework for how we acquire knowledge, we examine what happens when AI reasoning models confront problems where mathematical certainty isn’t enough.
We 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?
We explore Alisdair MacIntyre’s concept of narrative fragmentation and whether large language models (LLMs) contribute to it through their underlying architecture.
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
To pitch Machines & Meaning, visit http://machinesandmeaning.com for contact information, then craft a tight one-paragraph hook that ties your expertise to a gap in their recent society coverage.
Machines & Meaning is hosted by Angel Evan. The show is categorised under society (culture) and has published 14 episodes.
Machines & Meaning has published 14 episodes.
Machines & Meaning regularly covers society, culture, philosophy. It sits in the society category, with a culture focus.
Machines & Meaning is accessible for guests with genuine society expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Machines & Meaning hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Machines & Meaning average 14 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Machines & Meaning's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched yesterday.