Topic
philosophy
AI Pluralism and the Worlds It Misses: New Research Exposes Ontological Flattening
According to new research by Mushkani and Rashid, AI pluralism efforts often miss the deeper problem of ontological flattening—where AI systems impose restrictive categories that suppress contested meanings. The paper introduces Pluralistic Lifecycle Governance (PLG), a qualitative audit framework to document ontological openness and accountability throughout an AI system's lifecycle.
Philosophy Paper Argues Large Language Models Lack Agency for Moral Responsibility
A recent academic paper from arXiv argues that attributing agency or moral responsibility to large language models (LLMs) is misguided. The paper maintains that LLMs produce coherent outputs but are fully characterized by probabilistic input-output mappings, lacking intrinsic intentionality and self-attributed action. This challenges claims that LLMs can be moral agents, with direct relevance to how enterprises govern AI in decision-making.