Theme · 9 episode(s)

Human-AI Interaction

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Definition

Human-AI interaction is the study of how people perceive, communicate with, and are affected by artificial intelligence systems, spanning usability, trust, emotional response, and behavioral adaptation. It draws on human-computer interaction and psychology to understand not just what a model can do, but how design choices, framing, and communication style shape the resulting human experience.

Episodes covering this

  1. 235
    Why Chatbot Safety Erodes 350 Messages Into a Real Conversation
    DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots
    Moore, Mock, Mai et al. · Stanford University·18 min·Aug 06, 2026
  2. 229
    One Word Flips a Chatbot From Backbone to Yes-Man
    Tag Questions and the Generational Reversal of Sycophancy Across 45 Language Models
    Parikh · Cornell Tech·21 min·Jul 28, 2026
  3. 228
    Same Chatbot, Two Doors: Why 'Grok's Opinion' Doesn't Exist
    Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science
    Scarsoa, Almeidaab, Pinaac · Applied Social Sciences Department | NOVA School of Science and Technology - Universidade NOVA de Lisboa·16 min·Jul 27, 2026
  4. 219
    Forty-Four AI Models, One Word, And The Newest Ones Conform Most
    The One-Word Census: Answer-Choice Conformity Across 44 Language Models
    Parikh · Cornell Tech·15 min·Jul 15, 2026
  5. 218
    When Universities Say Embrace AI But Half the CS Syllabi Ban It
    A Comparative Analysis of Institutional and Course Generative AI Policies within Higher Education: Implications for Instruction in Computing Education
    Ganguly, Johri, McDonald et al. · George Mason University·14 min·Jul 15, 2026
  6. 216
    The AI Tutor That Gives Poor Kids a Thinner History
    The Paternalistic Filter: Epistemic Injustice and Differential Refusal in LLM-Mediated History Education for Marginalized Romanian Students
    Popovici, Ionascu, Dumitran · Universitatea din Bucuresti·12 min·Jul 14, 2026
  7. 210
    Same Website Request, Different Code — The Bias You Can't See
    Biased or Personalized? The Impact of Personal Information on AI-driven Development
    Entezami, Endres · University of Massachusetts Amherst·14 min·Jul 09, 2026
  8. 209
    How 2.6 Billion Doodles Exposed the Culture Words Quietly Delete
    Billions of Sketches Reveal Hidden Cultural Variation in Human Concepts
    Pera, Martino, Dehmamy et al. · IT University of Copenhagen·15 min·Jul 09, 2026
  9. 205
    The Same AI, Two Labels: How the Pitch Beat the Product in 162 Sessions
    Rating the Pitch, Not the Product: User Evaluations of LLMs Reflect Expectations More Than Performance
    Morabito, McDonald, Viswanath et al. · Brock University·13 min·Jul 07, 2026