Ethical Data Annotation: Balancing Business Needs and Privacy Rights #dataannotationcompany #aidataannotation
Ethical data annotation extends privacy protection beyond the initial collection phase, requiring careful consideration of how sensitive information is handled, labeled, and accessed throughout the model training process. This involves implementing strict access controls to ensure only authorized annotators work with personal data, anonymizing or pseudonymizing datasets wherever possible without compromising annotation quality, and establishing clear protocols for handling particularly sensitive categories like medical records, financial information, or biometric data.
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