AI Ethics, Governance, and Risk Management Certification Course for Compliance Officers

AI Ethics, Governance, and Risk Management Certification Course for Compliance Officers

Course Overview

 

As Artificial Intelligence (AI) becomes deeply embedded in corporate operations, the regulatory landscape is shifting from voluntary guidelines to mandatory legal frameworks. This training course is specifically designed for Compliance Officers, Legal Counsel, and Risk Managers who must navigate the complex intersection of algorithmic innovation and ethical responsibility. Participants will move beyond theoretical discussions to explore the practical mechanisms of AI auditing, bias mitigation, and regulatory alignment. The course serves as a strategic blueprint for maintaining institutional integrity in the age of automation.

 

The curriculum provides a comprehensive deep dive into global AI regulations, including the EU AI Act and emerging regional standards. Key topics include the identification of "Black Box" risks, data privacy in generative AI models, and the establishment of robust internal governance frameworks. We explore the pillars of Trustworthy AI—accountability, transparency, and fairness—equipping compliance professionals with the tools to perform algorithmic impact assessments. By the end of the program, attendees will be prepared to lead their organizations through the legal and ethical hurdles of the digital frontier.

 

Course Objectives

Upon the successful completion of this AI Ethics, Governance, and Risk Management Certification Course for Compliance Officers participants will be able to:

 

ü  Interpret and apply global AI regulatory frameworks to corporate policies.

ü  Conduct comprehensive Algorithmic Impact Assessments (AIAs).

ü  Identify and mitigate algorithmic bias and discriminatory outcomes.

ü  Design an internal AI Governance Framework that balances innovation with safety.

ü  Manage the compliance risks associated with Generative AI and Large Language Models.

Training Methodology

The course is designed to be highly interactive, challenging and stimulating. It will be an instructor led training and will be delivered using a blended learning approach comprising of:

ü  Instructor-led interactive lectures on legal frameworks.

ü  Scenario-based role-playing and ethical "War Gaming."

ü  Detailed walkthroughs of AI auditing tools and templates.

ü  Peer-led discussions on real-world AI failure case studies.

ü  Practical Sessions integrated into every module to ensure immediate technical and procedural application.

Our facilitators are seasoned industry professionals with years of expertise in their chosen fields. All facilitation and course materials will be offered in English.

Who Should Attend?

This AI Ethics, Governance, and Risk Management Certification Course for Compliance Officers would be suitable for, but not limited to:

 

ü  Compliance Officers and Managers

ü  Legal Practitioners and Corporate Counsel

ü  Risk and Audit Professionals

ü  Data Protection Officers (DPOs)

ü  Quality Assurance and Regulatory Affairs Specialists

ü  Chief Privacy Officers

ü  Ethical Officers and CSR Leads

 

Personal Benefits

Participants will establish themselves as indispensable strategic advisors within their organizations. Mastering AI ethics provides a future-proof career advantage, as regulatory bodies increasingly demand certified oversight for automated systems. You will gain the confidence to bridge the gap between technical data science teams and executive leadership.

 

Organizational Benefits

Organizations will significantly reduce their exposure to legal liabilities, hefty regulatory fines, and reputational damage caused by "rogue" AI. By fostering a culture of "Ethics by Design," companies can enhance stakeholder trust, improve the long-term sustainability of their AI investments, and ensure smoother approvals from regulatory authorities.

 

ü  Course Duration: 5 Days

 

ü  Training Fee

o   Physical Training: USD 1,500

o   Online / Virtual Training: USD 1,200

Module 1: The Fundamentals of AI Ethics and Trustworthy AI

ü  Defining AI Ethics: Moral philosophy vs. Technical implementation

ü  The OECD and UNESCO principles for AI

ü  The lifecycle of an AI system from a compliance perspective

ü  Human-in-the-loop (HITL) vs. Human-on-the-loop (HOTL)

ü  Practical Session: Evaluating an AI use case against the 7 requirements for Trustworthy AI.

 

Module 2: Global AI Regulatory Landscape and Legal Trends

ü  Deep dive into the EU AI Act: Risk-based classification

ü  Emerging AI regulations in North America, Asia, and Africa

ü  Liability and accountability: Who is responsible when AI fails?

ü  Sector-specific regulations (Finance, Healthcare, HR)

ü  Practical Session: Mapping your organization's current AI tools to the EU AI Act risk tiers.

 

Module 3: Identifying Algorithmic Bias and Fairness Metrics

ü  Types of bias: Historical, representation, and measurement bias

ü  Understanding "Fairness" in mathematical terms

ü  Proxy variables and the risk of indirect discrimination

ü  Mitigation strategies: Pre-processing vs. Post-processing

ü  Practical Session: Using a bias-detection tool to analyze a sample hiring algorithm.

 

Module 4: Transparency, Explainability, and the "Black Box" Problem

ü  The tradeoff between model accuracy and interpretability

ü  Local vs. Global Explainability (LIME and SHAP)

ü  Creating "Plain Language" explanations for non-technical stakeholders

ü  Disclosure requirements for automated decision-making

ü  Practical Session: Drafting a transparency report for a customer-facing credit scoring AI.

 

Module 5: Data Privacy and Protection in AI Ecosystems

ü  AI and the GDPR: Automated processing and the "Right to Explanation"

ü  Privacy-preserving AI: Federated Learning and Differential Privacy

ü  The risks of data scraping for model training

ü  Managing "Sensitive Data" in high-risk AI systems

ü  Practical Session: Conducting a Data Protection Impact Assessment (DPIA) specifically for an AI project.

 

Module 6: AI Risk Assessment and Management Frameworks

ü  The NIST AI Risk Management Framework (AI RMF)

ü  Inventorying AI assets across the enterprise

ü  Threat modeling for AI: Adversarial attacks and data poisoning

ü  Impact assessments for fundamental rights

ü  Practical Session: Filling out a comprehensive AI Risk Register for a proposed automation project.

 

Module 7: Governance of Generative AI and LLMs

ü  Copyright and Intellectual Property risks in Generative AI

ü  Detecting and managing "Hallucinations" and misinformation

ü  Corporate policies for employee use of ChatGPT and other LLMs

ü  Fine-tuning vs. API usage: Security implications

ü  Practical Session: Developing a "Responsible Use Policy" for Generative AI in the workplace.

 

Module 8: Establishing an AI Ethics Committee and CoE

ü  Defining roles: The Ethical AI Lead and Compliance Liaisons

ü  Cross-functional collaboration: IT, Legal, HR, and Operations

ü  Escalation paths for high-risk AI decisions

ü  Fostering an ethical culture among data scientists

ü  Practical Session: Simulating an AI Ethics Committee meeting to review a controversial project.

 

Module 9: Auditing AI Systems and Monitoring Compliance

ü  Internal vs. External AI audits

ü  Technical auditing of model performance and drift

ü  Documentation and record-keeping requirements

ü  Continuous monitoring of deployed AI models

ü  Practical Session: Creating an AI Audit Checklist for periodic compliance reviews.

 

Module 10: Strategic AI Ethics Roadmap and Change Management

ü  Integrating AI ethics into the corporate ESG strategy

ü  Long-term roadmap for AI governance maturity

ü  Training and awareness programs for the broader workforce

ü  Dealing with organizational resistance to AI oversight

ü  Practical Session: Designing a 12-month implementation roadmap for an enterprise AI Governance framework.

About Our Trainers

 

Our trainers are leading experts in Corporate Governance, Digital Law, and AI Ethics. They bring a unique blend of experience, having served as compliance advisors to multinational tech firms and contributors to international AI policy working groups. Each trainer holds advanced certifications in Data Privacy (CIPP/E) and specialized training in Algorithmic Governance, ensuring they provide insights that are both legally sound and technically accurate.

 

Quality Statement

 

Phoenix Center for Policy, Research and Training is committed to delivering the highest standard of professional development. We ensure our content is continuously updated to reflect the most recent legal rulings and technological breakthroughs. Our "Compliance-First" approach guarantees that participants walk away with actionable tools rather than just abstract theories.

 

Tailor-Made Courses

We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives.We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com

Admission Criteria

ü  Participants should be reasonably proficient in English. 

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

ü  Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

ü  What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

ü  Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

ü  The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

ü  Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training. Or call us on +254720272325 / +254737296202

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

ü  Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.

ü  Invoice: We can send a bill directly to you or your company.

ü  Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

ü  Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

ü  Participants may cancel attendance 14 days or more prior to the training commencement date.

ü  No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Accommodation and Airport Transfer

For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202

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