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PDF, AI, and Data Protection: Can Smart Be Safe?
Balancing Innovation and Compliance in AI-Powered PDF Workflows
Excerpt: As artificial intelligence becomes embedded in document processing workflows—from data extraction and summarization to redaction and translation—PDF is increasingly at the center of intelligent automation. But with this intelligence comes risk: the potential exposure of sensitive information, unintended violations of GDPR and copyrights, and loss of control over document content. This session explores the intersection of AI and data protection in the context of PDF. It highlights how AI tools ca … Read moreAbout the presenter(s)
Elodie Tellier is the former COO of ORPALIS Imaging Technologies, an innovative French company producing imaging software, PDF processing tools, and large-scale document flow management solutions for professionals of all … Read more
Description
As artificial intelligence becomes embedded in document processing workflows—from data extraction and summarization to redaction and translation—PDF is increasingly at the center of intelligent automation. But with this intelligence comes risk: the potential exposure of sensitive information, unintended violations of GDPR and copyrights, and loss of control over document content.
This session explores the intersection of AI and data protection in the context of PDF. It highlights how AI tools can unintentionally misuse or expose regulated data within PDFs, and examines what responsible, compliant use looks like in real-world workflows. We’ll cover practical risks—such as metadata leakage, external API calls, and misclassified personal data—as well as the business challenges of aligning innovation with legal obligations.
This presentation is aimed at a broad audience including product leaders, marketing professionals, compliance officers, and developers. It offers a strategic, non-technical look at how to move fast with AI—without breaking things.