AI Governance & Ethics
This badge covers the specific governance artifacts and regulatory tests used to oversee AI systems: EU AI Act risk classification, NIST AI Risk Management Framework profiles, ISO/IEC 42001 management system controls, algorithmic impact assessments, model cards, datasheets for datasets, and post-market monitoring triggers. Students work with those documents directly rather than discussing governance ideas at a distance. The courses move from regulatory mapping to risk-control design and then to audit practice, including disparity-based bias checks, red-team planning, and AI incident response under the EU AI Act’s serious incident reporting duties. Each course uses concrete system examples such as credit scoring, resume screening, healthcare triage, and public-sector benefit decisions.
What You'll Learn
Curriculum
Covers the EU AI Act’s prohibited, high-risk, limited, and minimal risk tiers, extraterritorial scope, and conformity obligations alongside the OECD AI Principles and ISO/IEC 42001 management system requirements. Students classify example AI systems and map which governance controls attach to each tier.
- EU AI Act Risk Tiers and Extraterritorial Trigger 2.5h
- EU AI Act Conformity Obligations for High-Risk Tier 2.5h
- OECD AI Principles and ISO/IEC 42001 Management System Integration 2.5h
Teaches structured impact assessment for automated decisions, including NIST AI RMF profiles, Canadian Directive on Automated Decision-Making questionnaires, and GDPR data protection impact assessment intersections. Students build control recommendations for bias, explainability, human review, and monitoring failures.
- Foundations of Algorithmic Impact Assessment: Frameworks and Questionnaires 2.5h
- Designing Risk Controls for Bias, Explainability, and Human Review 3.0h
- Monitoring Failures and Continuous Risk Control Adaptation 2.5h
Works through model card and datasheet review, disparity-metric checks, and post-deployment monitoring triggers. Students prepare an audit finding, run a structured red-team scenario, and draft an AI incident response notification.
- Model Card and Datasheet Review: Building the Audit Evidence Base 2.5h
- Disparity-Metric Checks and Bias Thresholds in Production Models 3.0h
- Structured Red-Teaming and AI Incident Response Notification 3.5h
Career Relevance
A graduate can sit in a model risk or compliance review and request the artifact that should already exist — an EU AI Act risk classification memo, an AI RMF Map-Measure-Manage profile, or a model card with reported bias metrics — then check whether it is complete against the governing framework. This is directly usable by compliance officers, privacy counsel, model risk managers, AI policy leads, and vendor due-diligence teams in regulated financial, insurance, healthcare, and public-sector organizations. They are equipped to convert an audit finding into a concrete control change, such as adding a human review checkpoint or a post-deployment drift monitor, rather than stopping at a generic “AI risk” note.
Recommended Background
For compliance, legal, risk, and policy professionals who already read regulations, manage control frameworks, or draft vendor contracts. No machine learning engineering background is required, but familiarity with basic model lifecycle terms such as training data, inference, and model output helps.
Program Details
| Award | Digital Badge |
| Duration | 6 months |
| Level | Intermediate |
| Courses | 3 |
| Language | English (UI in 4 languages) |
Caden Academy is a private, fully online professional training provider operated by Replatform (a company registered in Hong Kong). We are not a university, college, or accredited institution.
We do not hold any educational license, government approval, or accreditation from any authority in any country — including the United States, Hong Kong, China, or the European Union.
The certificates and diplomas we issue are issued solely by us, as a private company. They are not recognized by governments, universities, or official qualification frameworks. They cannot be used for:
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Our programs are designed for personal and professional development only. Whether an employer chooses to recognize our certificates is entirely at the employer's discretion, and we make no guarantees about career outcomes, salary changes, or employment prospects.