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From Alignment to Access Control: A Framework for GenAI Policy Enforcement

Paper recorded by Signals 4 on 2026-09-22 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.AI · 人工智能 · first seen 2026-09-23

Abstract

Generative AI (GenAI) applications have flourished enabling users to chat with large language models, and to create agents to act on their behalf for a variety of tasks. The pace of development of capabilities in this field is incredibly fast with security and safety taking a back seat. Unfortunately, the slower pace at which security and safety mechanisms have evolved has led to real incidents. P

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#15 most recent of 360 cs.AI papers we have recorded · ↑ newer: Measuring the Serving Stack Instead of the Model: Hidden Confounds in · ↓ older: A Spectral Theory of Grokking: Weight Decay induces Feature Learning
Cite this page: From Alignment to Access Control: A Framework for GenAI Policy Enforcement: the #15 most recent of 360 cs.AI papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-alignment-to-access-control-a-framework-for-genai-policy-enforcement.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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