This article discusses the importance of data ethics and six topics related to it, such as AI governance, responsible data use, data privacy, data security, data transparency, and AI bias. It emphasizes the need for ethical considerations when using data in order to maintain trust and credibility in technology and avoid potential harm to individuals. It also provides practical tools to investigate how models are performing in terms of these topics.