The paper proposes Agentic Data Environments that amplify agent capabilities (via information management, retrieval, and elicitation) while bounding failure consequences (via branching and data flow control).
Humans and automation: Use, misuse, disuse, abuse
3 Pith papers cite this work. Polarity classification is still indexing.
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AI does not uniformly harm critical thinking; over-reliance and reduced patience link to weaker performance, while balanced use supports it, per survey and clustering analysis.
A survey that organizes LLM agent applications in NetOps and AIOps around autonomy hierarchies, workflow evaluation, and safety governance.
citing papers explorer
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Agentic Data Environments
The paper proposes Agentic Data Environments that amplify agent capabilities (via information management, retrieval, and elicitation) while bounding failure consequences (via branching and data flow control).
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Critical Thinking in the Age of Artificial Intelligence: A Survey-Based Study with Machine Learning Insights
AI does not uniformly harm critical thinking; over-reliance and reduced patience link to weaker performance, while balanced use supports it, per survey and clustering analysis.
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Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety
A survey that organizes LLM agent applications in NetOps and AIOps around autonomy hierarchies, workflow evaluation, and safety governance.