Man vs the machine: The Struggle for Effective Text Anonymisation in the Age of Large Language Models

Understand

The collection and use of personal data are becoming more common in today's data-driven culture.

• While there are many advantages to this, including better decision-making and service delivery, it also poses significant ethical issues around confidentiality and privacy.
• Text anonymisation tries to prune and/or mask identifiable information from a text while keeping the remaining content intact to alleviate privacy concerns.
• Text anonymisation is especially important in industries like healthcare, law, as well as research, where sensitive and personal information is collected, processed, and exchanged under high legal and ethical standards.