Ai Governance & Ethical Ai Implementation Training Course: Navigating The Risks And Opportunities Of Ai

Introduction

AI Governance & Ethical AI Implementation training empowers professionals to understand and navigate the complex landscape of artificial intelligence, ensuring responsible and ethical deployment. This course focuses on analyzing AI risks, implementing ethical frameworks, and understanding the impact of AI on society and business. Participants will learn to develop AI governance policies, utilize ethical AI tools, and understand the intricacies of using AI to create fair and transparent systems. By mastering AI governance and ethical implementation, professionals can enhance their ability to build trustworthy AI solutions, mitigate potential harms, and contribute to a more responsible and equitable AI-driven future.

The rapid advancement of AI technologies necessitates a comprehensive understanding of ethical considerations and governance best practices. This course delves into the nuances of algorithmic bias, data privacy, and AI accountability, empowering participants to develop and implement tailored AI governance strategies. By integrating ethical principles with technological expertise, this program enables individuals to lead initiatives that maximize the benefits of AI while minimizing its risks.

Target Audience:

• AI developers
• Data scientists
• Business leaders
• Compliance officers
• Legal professionals
• Policy makers
• Ethics officers
• Project managers
• Individuals interested in AI governance
• Technology consultants

Course Objectives:

• Understand the principles and importance of AI governance and ethical AI implementation.
• Implement techniques for identifying and mitigating AI risks and biases.
• Understand the role of ethical frameworks and guidelines in AI development and deployment.
• Implement techniques for developing AI governance policies and procedures.
• Understand the principles of data privacy and security in AI applications.
• Implement techniques for ensuring transparency and accountability in AI systems.
• Understand the role of stakeholder engagement and public trust in AI governance.
• Implement techniques for utilizing ethical AI tools and platforms.
• Understand the legal and ethical considerations related to AI and automation.
• Develop strategies for measuring and analyzing the impact of AI governance initiatives.

DURATION

5 Days

COURSE CONTENT

Module 1: Foundations of AI Governance

• Principles and importance of AI governance and ethical AI implementation.
• Understanding the AI landscape and ethical challenges.
• Benefits of navigating the risks and opportunities of AI.
• Historical context and evolution of AI ethics.

Module 2: AI Risk and Bias Mitigation

• Techniques for identifying and mitigating AI risks and biases.
• Implementing bias detection and correction techniques.
• Utilizing risk assessment frameworks and tools.
• Managing AI risks.

Module 3: Ethical Frameworks and Guidelines

• Role of ethical frameworks and guidelines in AI development and deployment.
• Understanding ethical principles and values.
• Implementing ethical guidelines and best practices.
• Managing ethical frameworks.

Module 4: AI Governance Policies and Procedures

• Techniques for developing AI governance policies and procedures.
• Implementing policy development and documentation.
• Utilizing governance frameworks and standards.
• Managing AI policies.

Module 5: Data Privacy and Security in AI

• Principles of data privacy and security in AI applications.
• Understanding data protection regulations and best practices.
• Implementing data encryption and access controls.
• Managing data privacy.

Module 6: Transparency and Accountability

• Techniques for ensuring transparency and accountability in AI systems.
• Implementing explainable AI (XAI) and audit trails.
• Utilizing accountability mechanisms and reporting.
• Managing AI transparency.

Module 7: Stakeholder Engagement and Trust

• Role of stakeholder engagement and public trust in AI governance.
• Understanding stakeholder communication and engagement.
• Implementing public awareness and education programs.
• Managing stakeholder trust.

Module 8: Ethical AI Tools, Legal Considerations, and Measurement

• Techniques for utilizing ethical AI tools and platforms.
• Implementing ethical AI development methodologies.
• Utilizing AI governance metrics and analysis.
• Managing ethical AI tools.

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 5 working days before commencement of the training.