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Evidence record 1448 · automatically gathered

UNIVID: Unified Vision-Language Model for Video Moderation

Global-scale video moderation faces a dual challenge: the need for fine-grained multi-modal reasoning and the demand for interpretable outputs to support downstream enforcement. Traditional moderation systems often rely on fragmented black-box classifiers that are difficult to maintain and lack transparency. In this paper, we present UNIVID, a UNIfied VIsion-language model for video moDeration. Unlike standard classification models, UNIVID generates policy-aware captions that serve as an interpr

Record details

Published: 4 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Transparency
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (4 June 2026), “UNIVID: Unified Vision-Language Model for Video Moderation,” evidence record 1448, https://ethics.ai/record/1448 (originally published by arXiv).

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