4 papers
Individual Gain, Collective Loss: Metacognitive Adaptation in AI-Assisted Creativity
Anna Mikeda
Recent studies reveal a paradox: AI enhances individual creative outputs while reducing collective diversity. Current explanations -- cognitive offloading and over-reliance -- iden…
When Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty
Anna Mikeda
Existing frameworks assess whether AI systems might be conscious but provide no guidance on what to do with that assessment. We address this gap with a precautionary framework that…
A Motivational Architecture for Conversational AGI
Anna Mikeda, Ben Goertzel
Motivational architectures in cognitive AI have largely been designed for physical agents regulating bodily needs. Conversational agents operate in a different regime: their sensor…
Empathy Modeling in Active Inference Agents for Perspective-Taking and Alignment
Mahault Albarracin, Albarracin Mahault, Mikeda Anna +12
Artificial agents that model other agents must predict their behavior and determine whether their outcomes matter within action selection. We introduce an active inference framewor…