What is the process of protecting personal data from misuse known as?

Enhance your skills for the FBLA Data Science and AI Test. Study with well-structured questions and detailed explanations. Be confident and prepared for your test with our tailored resources!

The correct choice identifies the process of protecting personal data from misuse as data privacy. Data privacy encompasses the rules, standards, and practices that govern how personal information is collected, used, stored, and shared. It emphasizes the individual's right to control their personal information, ensuring that any data collected is done ethically and that privacy rights are respected.

Data privacy is particularly important in the digital age, where vast amounts of personal information are constantly being generated and processed. It involves implementing measures to prevent unauthorized access to data and ensuring that organizations comply with regulations regarding handling personal data.

On the other hand, data security focuses more broadly on the measures used to protect data from unauthorized access and breaches, which can include physical protections and cybersecurity protocols. Algorithmic bias relates to the unintended prejudices that can occur in machine learning algorithms and is not directly about data protection. Ethical AI refers to the principles guiding the development and use of artificial intelligence to ensure fairness, transparency, and accountability but does not specifically focus on the protection of personal data. Therefore, the focus on managing and safeguarding personal data in the context of an individual's rights makes data privacy the accurate choice.

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