VQV Signal
Using psychological terms like learning, memory, and trust to describe AI agents leads to systematic governance failures. This issue is epistemological, as the vocabulary carries hidden assumptions that hinder effective oversight and accountability.
Using psychological terms like learning, memory, and trust to describe AI agents leads to systematic governance failures. This issue is epistemological, as the vocabulary carries hidden assumptions that hinder effective oversight and accountability.
AI-assisted summary based on the listed source.
The vocabulary used to describe AI agents in governance contexts -- learning, memory, values, compliance, identity, trust -- is borrowed from psychological and organizational science, contributing to systematic failures in how organizations deploy, oversee, and hold agents accountable. This paper argues that the...
Misapplied psychological language can obscure the true nature of AI agents, resulting in flawed organizational deployment and governance. Recognizing this problem is crucial for improving how AI agents are managed and held accountable.
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VQV surfaced this signal because it is recent, relevant to AI Agents, connected to arXiv.
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