synapticz

3.2 Governing Data Collection, Provenance & Preparation

by Synapticz Media
Oct 22, 2026
5 quizzes
Public
FREE

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Data sourcing integrity, quality assurance, representation bias, privacy-enhancing technologies, and data documentation.

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5 quizzes

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Data Sourcing, Scraping Ethics & Licensing Verification

Data Sourcing, Scraping Ethics & Licensing Verification

Master data sourcing channels, scraping ethics, intellectual property rights, and copyright licensing verification under the IAPP AIGP Body of Knowledge. Evaluate Creative Commons terms, EU DSM Directive Articles 3 and 4 TDM exceptions, commercial data broker vetting, and algorithmic disgorgement risks.

ai-governance
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Data Quality, Completeness & Representativeness

Data Quality, Completeness & Representativeness

Master data quality dimensions, dataset completeness, demographic representativeness, and sampling skew identification under the IAPP AIGP Body of Knowledge. Covers EU AI Act Article 10(2) quality criteria, ISO/IEC 25012 and ISO/IEC 5259 standards, missing data imputation risks, and geographic distribution shifts.

ai-governance
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Data Bias Detection & Pre-Processing Mitigation Techniques

Data Bias Detection & Pre-Processing Mitigation Techniques

Master data bias detection archetypes, proxy variable suppression, disparate impact metrics, and pre-processing mitigation under the IAPP AIGP Body of Knowledge. Explore NIST AI RMF bias taxonomy, Kamiran-Calders reweighing, resampling techniques, the four-fifths rule, and EU AI Act Article 10(2)(f) obligations.

ai-governance
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Privacy-Enhancing Technologies (PETs) & Data De-Identification

Privacy-Enhancing Technologies (PETs) & Data De-Identification

Master Privacy-Enhancing Technologies (PETs), de-identification standards, and statistical disclosure limitation under the IAPP AIGP Body of Knowledge. Explore GDPR Recital 26 anonymization vs pseudonymization, k-anonymity, differential privacy epsilon budgets, federated learning vulnerabilities, and synthetic data risks.

ai-governance
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Data Provenance, Lineage & Datasheets for Datasets

Data Provenance, Lineage & Datasheets for Datasets

Master data provenance tracking, end-to-end data lineage, and Datasheets for Datasets documentation under the IAPP AIGP Body of Knowledge. Covers Gebru et al. methodology, ISO/IEC 5259 and IEEE 2830 standards, crowdsourced labeler provenance, and EU AI Act Article 10(6) audit trails.

ai-governance
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