In public administrations as in many professions handling sensitive data, there are discreet but essential actions: proofreading a report line by line, tracking down a name, a date, an address, or an overly specific clue. Crossing out, blurring, replacing. Protecting.<\/p>\n\n
Because behind every document lie life stories: a family in difficulty, fragile health, a strained financial situation. These reports must never become exposed identities. Yet, they must be shared: transmitted to other departments, communicated to partners, sometimes even made public.<\/p>\n\n
This task is delicate. And now, artificial intelligence can lend a hand.<\/p>\n\n
It is often believed that anonymization consists of erasing a first name or masking a social security number. But it is much more subtle. A person’s identity can show through a location, a date, a family connection, or even a simple turn of phrase.<\/p>\n\n
It is to address this complexity that Digitech designed DINA<\/strong>, an artificial intelligence orchestrator designed to process documents with precision and ethics.<\/p>\n\n Far from being a black box, DINA organizes AI processing transparently. In the case of anonymization, it reads documents like an attentive human would:<\/p>\n\n The result: intelligent anonymization that protects data without altering the meaning.<\/p>\n\n The evolution of regulations\u2014GDPR, Swiss nLPD, European AI Act\u2014imposes more rigor, transparency, and explainability in data processing. It is a responsible AI that serves to build trust.<\/p>\n\n What distinguishes DINA from generic solutions is its ability to understand business contexts. Whether it involves medical reports, social files, or legal documents, it identifies the subtleties specific to each sector.<\/p>\n\n In this sense, DINA carves out a unique path: that of an artificial intelligence that protects confidentiality, respects regulations, and, above all, preserves meaning.<\/p>\n\n Anonymization should not be perceived as an administrative constraint. With DINA, it becomes a lever for responsibility, ethics, and trust. An AI that does not just erase data, but protects what it represents: lives, stories, and identities.<\/p>\n","protected":false},"excerpt":{"rendered":" In public administrations as in many professions handling sensitive data, there are discreet but essential actions: proofreading a report line by line, tracking down a name, a date, an address, or an overly specific clue. Crossing out, blurring, replacing. Protecting. Because behind every document lie life stories: a family in difficulty, fragile health, a strained […]<\/p>\n","protected":false},"author":2,"featured_media":3357,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"class_list":["post-3355","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-expert-opinions"],"acf":[],"yoast_head":"\nDINA: understanding rather than censoring<\/h2>\n\n
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Ethics at the heart of AI<\/h2>\n\n
An intelligence that speaks the language of the business<\/h2>\n\n
Conclusion: anonymization as a guarantee of trust<\/h2>\n\n