Differential Privacy facilitates ethical data usage by providing a robust framework for protecting individual privacy in data analysis. In an era where data is a critical asset for many organisations, ensuring ethical handling of this data, especially when it's sensitive or personal, is paramount. Differential Privacy allows for the analysis of such data while minimising the risk of exposing individual information. Introducing randomness in the data or the analysis process prevents any single data point from having a significant impact on the output, thereby safeguarding individual privacy. This approach aligns with ethical standards in data usage, ensuring that organisations can derive insights from data responsibly without compromising the privacy of individuals whose data they are analysing.