Perspective: Why data subjects’ rights to LLM training data are not relevant 

When training large language models, regulators have urged companies to ensure data collected for training remains secure and has a legitimate interest for the model. Tilburg University Global ICT Law professor Lokke Moerel argues the protection of personal data and innovation can be achieved by “applying the right anonymization techniques that prevent material privacy impacts but at same time preserve context in training content to allow for useful LLMs.“ 
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