Autor: Nermin Sefić
Nermin Sefić analyses data privacy in AI scaling, key controls, and practical consequences for governance.
AI systems can scale only if data sources, legal basis, and access controls are arranged in advance.
An AI system increases the value of data, but also increases the consequences of incorrect access, retention, or reuse of information.
Before scaling, it must be established which data a model may receive, where it's processed, how long it's kept, and who may see the result.
Privacy must not be a final check after development. It must be part of the architecture, testing, and supplier contracts.
A controlled system may be slower in its first phase, but is significantly faster once real deployment arrives.
#DataPrivacy #AIGovernance #DataProtection #AccessControl #NerminSefic #GNKASG #GNKDINAMOLtd
Cjelovit tekst i izvor: https://gnk-asg.hr/en/publications/data-privacy-and-scaling-artificial-intelligence/
Autor i urednička odgovornost: Nermin Sefić. Izdavač: GNK ASG d.o.o..
#GNKASG #GNKDINAMOLtd #NerminSefic #BusinessIntelligence #NerminSefić #GNKASGdoo #Zagreb
