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Merge pull request #93 from arm-university/matt-working
c2pa final update
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Projects/Projects/Video-&-Audio-Provenance-In-The-Age-of-AI.md

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---
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title: "Video & Audio Provenance on Arm in the Age of AI"
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description: "Integrating transparent provenance - disclosing whether media is AI-generated or AI-edited, and what other AI processing has occurred on any media - is fundamental for accountability in domains like journalism, security, and regulated industries. This project uses C2PA specification (www.c2pa.org) revision 2.3 to record such actions as signed, machine-verifiable assertions attached to the asset. This reduces deepfake proliferation and fraud by providing a method to verify provenance. Additionally, it tracks authorized and potential unauthorized use of models to analyze the asset, by means of Model Provenance."
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description: "Integrating transparent provenance - disclosing whether media is AI-generated or AI-edited, and what other AI processing has occurred on any media - is fundamental for accountability in domains like journalism, security, and regulated industries. This project uses C2PA specification (www.c2pa.org) revision 2.3 to record such actions as signed, machine-verifiable assertions attached to the asset."
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subjects:
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- "ML"
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- "Security"
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support-level:
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- "Self-Service"
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- "Arm Ambassador Support"
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publication-date: 2026-02-06
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publication-date: 2026-02-12
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license:
2020
status:
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- "Published"
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badges:
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- trending
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- recently_added
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donation:
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---

docs/_data/navigation.yml

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media - is fundamental for accountability in domains like journalism, security,
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and regulated industries. This project uses C2PA specification (www.c2pa.org)
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revision 2.3 to record such actions as signed, machine-verifiable assertions
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attached to the asset. This reduces deepfake proliferation and fraud by providing
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a method to verify provenance. Additionally, it tracks authorized and potential
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unauthorized use of models to analyze the asset, by means of Model Provenance.
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url: /2026/02/06/Video-&-Audio-Provenance-In-The-Age-of-AI.html
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attached to the asset.
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url: /2026/02/12/Video-&-Audio-Provenance-In-The-Age-of-AI.html
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subjects:
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- ML
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- Security

docs/_posts/2026-02-06-Video-&-Audio-Provenance-In-The-Age-of-AI.md renamed to docs/_posts/2026-02-12-Video-&-Audio-Provenance-In-The-Age-of-AI.md

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title: Video & Audio Provenance on Arm in the Age of AI
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description: Integrating transparent provenance - disclosing whether media is AI-generated or AI-edited, and what other AI processing has occurred on any media - is fundamental for accountability in domains like journalism, security, and regulated industries. This project uses C2PA specification (www.c2pa.org) revision 2.3 to record such actions as signed, machine-verifiable assertions attached to the asset. This reduces deepfake proliferation and fraud by providing a method to verify provenance. Additionally, it tracks authorized and potential unauthorized use of models to analyze the asset, by means of Model Provenance.
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description: Integrating transparent provenance - disclosing whether media is AI-generated or AI-edited, and what other AI processing has occurred on any media - is fundamental for accountability in domains like journalism, security, and regulated industries. This project uses C2PA specification (www.c2pa.org) revision 2.3 to record such actions as signed, machine-verifiable assertions attached to the asset.
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subjects:
55
- ML
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- Security
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support-level:
1616
- Self-Service
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- Arm Ambassador Support
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publication-date: 2026-02-06
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publication-date: 2026-02-12
1919
license:
2020
status:
2121
- Published
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badges:
23-
- trending
2423
- recently_added
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donation:
2625
layout: article

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