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Personal Data Anonymization Using AI

/ Lecture
In a world where artificial intelligence is available to general public and able to extract information from text in a matter of seconds, there arises a greater need to protect personal data when publishing documents online. Anonymization is an important process that retains the nature of the original document while removing personally identifiable information from it. The Ministry of Justice of the Slovak Republic in collaboration with Essential Data are currently deploying an IT solution that combines human and artificial intelligence to speed up and improve the anonymization process of judicial decisions in Slovakia. The innovation lies in the combination of the use of modern web technologies, UX (User experience) principles, knowledge in the form of rules for the recognition of personal information, NLP (Natural language processing) tools and an AI model trained on inputs from court staff. From the production operation we can see that more than 55% of the documents are anonymized without the need for correction, the average time of anonymization is 3.5 minutes, and the success rate at which the AI correctly identifies the data is around 90%.

Filip Bednárik

essential data
Filip Bednárik has worked for Essential Data since 2014. He is a key expert in projects in which the intelligent search in the Slovak language is being implemented. He enjoys working with big data and its analysis, evaluation, and presentation. Since 2018 Filip has been working as an AI expert on the project “Anonymization Services for the Ministry of Justice”. He has extensive experience in information systems design, automation, process optimization and app development. Filip prefers a technological stack based on open-source solutions, microservices, and a cloud-based infrastructure.
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