Data privacy plays a crucial role in the ethics of data science. With the increasing amount of personal data being collected and processed, protecting the privacy and confidentiality of individuals' information is of utmost importance.

One example of the ethical concerns surrounding data privacy is the collection and storage of personal data without individuals' informed consent. This can lead to potential violations of privacy and loss of control over one's own data. For instance, when social media platforms collect users' data without clear consent, it raises concerns about the ethical implications and potential misuse of that data.

Another aspect of data privacy is the risk of data breaches, which can have severe consequences for individuals. Unauthorized access to personal data can result in identity theft, financial loss, or even reputational damage. For instance, a data breach in a healthcare organization compromising patients' medical records can have significant ethical and legal implications.

To ensure data privacy in the ethical practice of data science, organizations need to implement adequate security measures, provide transparent privacy policies, and obtain explicit consent from individuals for data collection and processing. It is crucial for data scientists to handle personal data with care and adhere to relevant privacy regulations and guidelines.