Data Ethics
The branch of ethics that evaluates data practices with respect to the moral obligations of gathering, protecting, and using personally identifiable information.
Covers principles like consent, fairness, transparency, and accountability in data collection, processing, sharing, and analytics. Data-ethics governance includes ethical-impact assessments, stakeholder engagement (including vulnerable groups), and public disclosure of data-use policies - ensuring data practices align with societal values and human rights beyond mere legal compliance.
A consumer-survey platform conducts a data-ethics review before launching a mental-health questionnaire. They consult psychologists and privacy advocates, adjust questions to avoid intrusive prompts, clearly explain data uses to participants, and publish an ethics statement outlining safeguards and opt-out options.
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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How is Enzai different from other governance tools?
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