2 YR ORDINARY DIPLOMA IN ARTIFICIAL INTELLIGENCE ETHICS

Course Duration: 2 Years (4 semesters, including holidays and attachment)
Course Fee: 30,000 Kenyan Shillings per semester (each semester takes 3 months)

weekly commitment: minimum of 2 hours per day

Course Overview:

This course focuses on ethical considerations in artificial intelligence (AI), including fairness, transparency, accountability, and societal impacts of AI technologies.

Year 1

Semester 1: Introduction to Artificial Intelligence Ethics

• Week 1-2: Introduction to Artificial Intelligence

• • Overview of Artificial Intelligence Concepts
  • History and Evolution of AI
  • Ethical Concerns in AI Development
  • Practical Exercises

• Week 3-6: Ethical Frameworks and Principles

• • Ethical Theories (Utilitarianism, Deontology, Virtue Ethics)
  • Principles for AI Ethics (Fairness, Transparency, Accountability)
  • AI and Human Rights
  • Mini Project

• Week 7-10: Bias and Fairness in AI

• • Types of Bias in AI Systems
  • Fairness Metrics and Measurement
  • Mitigating Bias in AI Algorithms
  • Practical Exercises

• Week 11-14: Privacy and Security in AI

• • Data Privacy Regulations (GDPR, CCPA)
  • Privacy-Preserving AI Techniques
  • Cybersecurity Risks in AI Systems
  • Practical Exercises

• Week 15-16: Semester Review and Assessment

• • Review of Key Concepts
  • Practice Projects
  • Mid-Semester Exam

Semester 2: AI Governance and Policy

• Week 1-4: Regulatory Landscape of AI

• • Global AI Regulations and Policies
  • Ethical AI Standards and Guidelines
  • AI Governance Frameworks
  • Practical Exercises

• Week 5-8: Responsible AI Development

• • Ethical Design and Development Practices
  • Human-Centered AI Design
  • Participatory Design Approaches
  • Mini Project

• Week 9-12: AI and Accountability

• • Legal and Ethical Responsibilities
  • Explainable AI (XAI) and Interpretability
  • Auditing AI Systems
  • Practical Exercises

• Week 13-14: AI Ethics in Industry and Research

• • Case Studies in Ethical AI Deployments
  • Ethics in AI Research and Publication
  • AI for Social Good
  • Practical Exercises

• Week 15-16: Semester Review and Assessment

• • Review of Key Concepts
  • Practice Projects
  • End-of-Semester Exam

Year 2

Semester 3: Advanced Topics in AI Ethics

• Week 1-4: AI and Autonomous Systems

• • Ethics of Autonomous Vehicles
  • Ethical Challenges in AI Robotics
  • AI in Healthcare and Bioethics
  • Practical Exercises

• Week 5-8: Ethical Implications of AI in Decision-Making

• • AI in Criminal Justice and Law Enforcement
  • AI in Hiring and Recruitment
  • Algorithmic Bias and Discrimination
  • Mini Project

• Week 9-12: AI and Future Societal Impacts

• • AI and Workforce Displacement
  • Socioeconomic Implications of AI Adoption
  • Ethical Considerations in AI Governance
  • Practical Exercises

• Week 13-14: AI Ethics Project Management

• • Project Planning and Implementation
  • Stakeholder Engagement in AI Ethics Projects
  • Risk Assessment and Management
  • Practical Exercises

• Week 15-16: Semester Review and Assessment

• • Review of Key Concepts
  • Practice Projects
  • Mid-Semester Exam

Semester 4: Capstone Project and Industry Applications

• Week 1-4: Capstone Project

• • Project Planning and Design
  • Implementation of AI Ethics Project
  • Portfolio Development
  • Final Presentation and Evaluation

• Week 5-8: Industry Attachment

• • Attachment in AI Ethics Roles
  • Applying AI Ethics Frameworks in Real-World Projects
  • Industry Best Practices
  • Practical Experience

• Week 9-12: Professional Development

• • Career Pathways in AI Ethics
  • Building a Professional Portfolio
  • Networking and Career Development
  • Practical Exercises

• Week 13-16: Course Review and Final Exam

• • Comprehensive Course Review
  • Practice Projects
  • Final Exam

Attachment

Students will undertake an industry attachment to gain practical experience in applying AI ethics principles in real-world AI projects and systems. This attachment period allows students to explore ethical challenges and considerations in AI development and deployment.

Certification

Upon successful completion of the course, students will receive an "Ordinary Diploma in Artificial Intelligence Ethics" certificate, recognizing their expertise and skills in ethical AI development, governance, and policy.