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1890 learning items

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Quiz

Logging, Telemetry, Audit Trails & Regulatory Record-Keeping

Unofficial AIGP practice on evidence for deployed AI: logging capabilities, retention, integrity controls, distributed traces and reconstruction of disputed decisions. Questions distinguish general EU AI Act Article 12 logging purposes from the specific remote-biometric fields in Article 12(3), and deployer log retention in Article 26(6). Practical scenarios examine clock consistency, collection failures, human oversight and model configuration records without promising exact replay or prescribing universal storage architectures. Basic familiarity with production AI services and personal-data handling is helpful. Practice balances traceability with GDPR minimization, security and purpose-based retention, including contextual exceptions. The set supports IAPP AIGP Body of Knowledge version 2.1 monitoring and issue-management competencies. It is focused unofficial study material; legal duties depend on the applicable regime, role and system.

ai-governance

Oct 23, 2026

13 questions

Quiz

Ongoing Fairness & Disparate Impact Auditing in Production

Unofficial AIGP practice on auditing fairness after deployment. Assess subgroup selection and error rates, intersectional effects, missing demographic evidence and operational changes that can undermine an earlier audit. The set distinguishes the U.S. employment four-fifths screening heuristic from a legal finding or a universal lending threshold. It also covers NYC Local Law 144 audit and notice duties, BISG limitations in fair-lending analysis, fairness-metric incompatibilities and the conditional EU AI Act bias-processing exception in Article 4a following the July 2026 amendment. Familiarity with classification errors and basic selection-rate analysis is useful. Scenarios emphasize documented limitations, lawful data use and validated remediation. This targeted practice supports the monitoring competency of IAPP AIGP Body of Knowledge version 2.1; it is not an official IAPP question bank or a substitute for jurisdiction-specific legal review.

ai-governance

Oct 23, 2026

13 questions

Quiz

Continuous Performance Monitoring: Data Drift & Concept Drift

Unofficial AIGP practice on monitoring deployed AI systems. Review input, conditional and label shifts; compare statistical tests and distribution distances; and interpret alerts in their business context. Questions address delayed outcome labels, seasonal baselines, embedding drift, monitoring pipeline reliability and the limits of univariate checks. Scenarios distinguish a change in data from proven loss of performance and examine why retraining requires controlled evaluation. Basic familiarity with classification, probability distributions and model validation is helpful. Legal questions distinguish EU AI Act Article 72 post-market monitoring from real-world testing requirements; applicability depends on the system and relevant legal regime. This focused set supports the monitoring and maintenance competency in IAPP AIGP Body of Knowledge version 2.1 and does not replace the official syllabus or legal advice.

ai-governance

Oct 23, 2026

13 questions

Quiz

Architectural Selection & Adaptation Strategies

Unofficial AIGP practice on selecting AI models and adapting them to enterprise use. The questions compare commercial APIs, self-hosted open weights, retrieval-augmented generation, in-context prompting, LoRA and new model training. Governance scenarios explore vendor dependence, privacy and erasure, source grounding, document permissions, human-feedback risks and the allocation of EU AI Act provider responsibilities. The set distinguishes what an architecture can support from what it guarantees: retrieval needs authorization and citation checks, self-hosting needs operational security, and adaptation needs validation. Basic knowledge of models, prompts, training and deployment is useful. The material supports architecture and model-selection work in IAPP AIGP BoK version 2.1 competency III.A and deployment-option comparisons in IV.A. Legal examples require attention to system scope, exceptions and applicability dates. This is independent topic practice, not an official IAPP product or a complete certification course.

ai-governance

Oct 22, 2026

15 questions

Quiz

Defining System Objectives, Loss Functions & Metric Alignment

Unofficial AIGP practice on translating an AI system’s purpose into appropriate objectives, loss functions, thresholds and evaluation criteria. The set examines proxy failure, specification gaming, asymmetric error costs and multi-objective trade-offs. Scenarios address recommendation, lending and hiring systems, asking whether a high score represents the intended outcome and how fairness or safety requirements should shape both technical and operational decisions. Mathematical constraints and penalties are distinguished from evidence of real-world performance or legal compliance. Basic familiarity with classification errors and model evaluation is helpful. The material supports IAPP AIGP BoK version 2.1 competency III.A, particularly metrics, thresholds and design requirements. It uses NIST AI RMF context and measurement guidance without attributing a separate metric-alignment rule to MAP 2.1. This focused set is independent practice and does not claim complete examination coverage.

ai-governance

Oct 22, 2026

15 questions

Quiz

Use-Case Justification, Feasibility & 'To Build or Not to Build' Analysis

Unofficial AIGP practice on defining an AI use case and deciding whether a proposed system should proceed. Topics include necessity, proportionality, rule-based alternatives, data and label validity, operational readiness, lifecycle cost and multidisciplinary review. Scenario questions examine when high accuracy cannot justify a prohibited use, how consumer-pricing proposals raise context-specific risks, and how a governance committee can apply its delegated decision authority. References to Gate 0 and Gate 1 describe an example organizational process rather than mandatory IAPP or NIST stages. Basic AI lifecycle and risk-management knowledge is useful. The set supports competency III.A in IAPP AIGP BoK version 2.1 through use-case assessment, requirements, alternatives and risk decisions. The legal examples require attention to scope and exceptions; they are not a complete legal compliance checklist. This is independent practice material, not an official IAPP examination.

ai-governance

Oct 22, 2026

15 questions

Quiz

Regularization, Overfitting & Subpopulation Performance

Unofficial AIGP practice on model fit, regularization and performance across subpopulations. This set connects training choices to the quality of evidence used for release and monitoring decisions. Topics include overfitting and underfitting, L1 and L2 penalties, dropout, early stopping, group DRO and evaluation design. Scenarios examine when aggregate metrics conceal subgroup failures, why a sparse model can still contain proxy risks, and how privacy concerns differ from generalization performance. Legal questions distinguish appropriate documentation and accuracy duties from guarantees that no disparate impact is possible. Basic knowledge of training/validation splits and error rates is useful. Practise interpreting subgroup metrics, spotting leakage and assessing whether regularization choices satisfy justified acceptance criteria. The material supports IAPP AIGP version 2.1 competencies on training/testing, metric evaluation and release readiness. It is independent study material and does not treat any technique or benchmark score as an automatic proof of safety or compliance.

ai-governance

Oct 22, 2026

15 questions

Quiz

US Executive Orders, OMB Guidance & State-Level Legislation

Unofficial AIGP practice on US federal AI policy and selected state requirements, reviewed as of November 4, 2026. The set distinguishes executive authority, agency-use guidance and state legislation. Current-policy questions cover OMB M-25-21, including high-impact AI, agency governance, testing, oversight and review. State scenarios address Colorado’s enacted SB26-189 replacement framework, effective January 1, 2027, and Utah’s generative-AI disclosure rules. Clearly labelled historical questions retain useful context on EO 14110, which was rescinded in January 2025. Basic familiarity with US federal and state jurisdiction and the AI lifecycle is helpful. Learners should distinguish enactment from applicability, check statutory exceptions and avoid treating old policy summaries as current law. The material supports legal and governance analysis related to the IAPP AIGP BoK version 2.1; it is not an official IAPP product or a complete survey of US AI legislation.

ai-governance

Oct 22, 2026

15 questions

Quiz

User Transparency Notices, Disclosures & Synthetic Media Watermarking

Unofficial AIGP practice on AI interaction notices, synthetic-media disclosure, machine-readable marking and provenance limitations. Covers EU AI Act Article 50 roles, exceptions and accessibility, watermarking tradeoffs and the historical, revoked EO 14110. Assumes basic AI governance knowledge; supports relevant version 2.1 III.C and IV.C competencies.

ai-governance

Oct 22, 2026

14 questions

Quiz

International Frameworks: OECD, G7 Hiroshima & UNESCO

Unofficial AIGP study practice on the OECD AI Principles, the G7 Hiroshima AI Process and UNESCO’s Recommendation on the Ethics of Artificial Intelligence. The questions distinguish values-based principles, public-policy recommendations and organizational governance practices. Coverage includes the OECD AI-system definition, lifecycle accountability, transparency, testing, incident-information sharing and ethical impact assessment. A multinational scenario asks how these instruments can inform a common governance baseline while respecting local obligations. Basic knowledge of AI governance and the distinction between voluntary guidance and binding regulation is helpful. The OECD material relates to competency II.D of the IAPP AIGP BoK version 2.1; G7 and UNESCO provide related international context. This focused topic set is not an official IAPP product or a complete syllabus review.

ai-governance

Oct 22, 2026

15 questions

Quiz

System Integration Risks, Dependencies & Cascading Failures

Unofficial AIGP practice on AI integration dependencies, propagated errors, operational cascades, circuit breakers, bounded retries, data contracts and validated fallback paths. Includes schema-validation limits, idempotent actions and correlated dependency scenarios. Assumes basic API and AI pipeline knowledge; supports relevant version 2.1 IV.A and IV.C competencies.

ai-governance

Oct 22, 2026

15 questions

Quiz

Supporting ISO/IEC Standards Ecosystem

Unofficial AIGP practice comparing the purposes and limits of supporting ISO/IEC AI standards. Familiarity with AI governance, risk assessment and the distinction between guidance and management-system requirements is useful. The set covers terminology, autonomy and automation, AI risk management, governing-body oversight, trustworthiness, neural-network robustness, system quality and data quality. It adds practice on impact-assessment guidance, ML-system frameworks, publication status and the conditions for a harmonised standard to support EU AI Act conformity claims. AIGP Body of Knowledge v2.1, competency II.D, specifically names ISO/IEC 22989, 42001 and 42005 as core AI standards. The wider standards here provide supporting context, rather than constituting a separate official syllabus requirement. Edition and legal applicability must be checked when applying any standard. This set neither certifies an organization nor establishes universal system trustworthiness.

ai-governance

Oct 22, 2026

14 questions