Introduction

As Artificial Intelligence (AI) rapidly integrates into every facet of society and industry, the critical importance of data ethics and robust governance in AI systems has become undeniable. This essential training course focuses on Data Ethics and Governance in AI Systems, equipping participants with the indispensable knowledge and practical frameworks to design, deploy, and manage AI solutions that are not only powerful and efficient but also fair, transparent, accountable, and respectful of privacy. You will learn to identify and mitigate algorithmic bias, navigate complex regulatory landscapes, and establish comprehensive governance structures that ensure responsible AI development and deployment, safeguarding individual rights and fostering public trust in AI technologies.

Target Audience

• AI Developers & Engineers
• Data Scientists & Analysts
• AI Product Managers
• Legal & Compliance Professionals
• IT Governance Specialists
• Chief Ethics Officers
• Public Policy Makers (Technology Sector)
• Business Leaders overseeing AI adoption

Course Objectives

• Understand the core principles and challenges of data ethics in AI.
• Learn the foundational concepts of AI governance frameworks and their implementation.
• Master techniques for identifying and mitigating bias in AI models and datasets.
• Develop skills in ensuring data privacy and security within AI systems.
• Understand the regulatory landscape for AI and ethical compliance requirements.
• Learn about promoting transparency and explainability in AI decision-making.
• Explore best practices for establishing accountability in AI development and deployment.
• Master techniques for conducting ethical impact assessments for AI projects.
• Understand the role of human oversight and intervention in AI systems.
• Learn about fostering a culture of responsible AI within organizations.
• Apply practical tools and methodologies for ethical AI design and governance.

Duration

5 Days

Course Content

Module 1: Fundamentals of Data Ethics in AI

• Defining data ethics principles (fairness, accountability, transparency, privacy, consent) for your module.
• Exploring the unique ethical dilemmas posed by AI systems.
• Understanding the societal impact of biased or unregulated AI.
• The importance of a human-centered approach to AI development.
• Setting the ethical foundation for responsible AI.

Module 2: AI Governance Frameworks and Principles

• Learning the components of effective AI governance frameworks for your module.
• Understanding key principles like robustness, security, and auditability in AI governance.
• Exploring different governance models (e.g., centralized, decentralized).
• The role of internal policies, guidelines, and ethics committees.
• Establishing clear objectives for AI governance.

Module 3: Algorithmic Bias Detection and Mitigation

• Mastering techniques for identifying and quantifying algorithmic bias in AI models for your module.
• Understanding sources of bias in training data and model design.
• Learning various bias mitigation strategies (pre-processing, in-processing, post-processing).
• Utilizing fairness metrics and tools to evaluate AI system outcomes.
• Developing fair and equitable AI solutions.

Module 4: Data Privacy and Security in AI Systems

• Implementing best practices for data privacy within AI systems for your module.
• Understanding privacy-preserving techniques (e.g., differential privacy, federated learning).
• Ensuring compliance with global data protection regulations (e.g., GDPR, CCPA).
• Mitigating security risks and vulnerabilities in AI pipelines and models.
• Balancing data utility with privacy protection in AI development.

Module 5: Transparency, Explainability, and Accountability in AI

• Promoting transparency by documenting AI system design and data usage for your module.
• Techniques for achieving explainability (XAI) in complex AI models.
• Understanding the trade-offs between model complexity and interpretability.
• Establishing clear lines of accountability for AI system decisions and outcomes.
• Building user trust through understandable and justifiable AI.

Module 6: Regulatory Landscape and Ethical Compliance

• Navigating the evolving regulatory landscape for AI across different jurisdictions for your module.
• Understanding the implications of key AI regulations (e.g., EU AI Act, NIST AI RMF).
• Developing a compliance roadmap for AI initiatives.
• Conducting regular regulatory assessments and gap analyses.
• The role of ethical guidelines in fostering legal compliance.

Module 7: Ethical AI Development and Responsible Deployment

• Integrating ethical considerations throughout the entire AI development lifecycle for your module.
• Designing and implementing processes for ethical impact assessments.
• Fostering a culture of responsible AI through training and education.
• Understanding the importance of human oversight and intervention in AI systems.
• Strategies for responsible deployment and ongoing monitoring of AI.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.