What is Data Ethics?
Principles guiding the responsible collection, processing, and use of data.
Data ethics encompasses the moral principles and practices that guide how organizations collect, store, process, and use data. It covers privacy (protecting personal information), consent (ensuring people agree to data use), fairness (avoiding discriminatory algorithms), transparency (explaining how data drives decisions), and accountability (taking responsibility for data-related harms). As AI systems scale, data ethics becomes increasingly critical.
Related terms
The framework of policies, processes, and standards for managing data assets across an organization.
An organization's preparedness to successfully adopt and deploy artificial intelligence.
The degree to which data is accurate, complete, consistent, timely, and fit for its intended use.
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