The Importance of Data Anonymization to Build Ethical AI

Lecture in the Convergence Lecture Series

The speaker was Manuel Herranz, CEO of Pangeanic.
Data provenance and the use and inclusion of personal data have not been historically a consideration in the building of machine translation systems and, lately, Large Language Models (LLMs). Manuel’s convergence lecture will touch upon concepts such as Ethical AI and the need to build ethics all along the data generation and data acquisition pipelines when building AI products and services, GDPR, compliance, EU anonymisation projects, the data-for-AI market, etc. He will also discuss the challenges involved in anonymisation of multilingual content in the context of machine translation.


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