Certified AI Safety and Ethics Specialist (CASES™)

Certified AI Safety and Ethics Specialist (CASES™)

Public Training with Exam: November 14-15

This certification course, developed by NLL.ai in collaboration with Tonex, aims to equip participants with the knowledge and skills necessary to design, implement, and manage AI systems that prioritize human safety and ethical considerations. The course includes theoretical foundations, practical applications, and an examination to certify participants as AI Safety and Ethics Specialists.

Format: Live virtual training with interactive sessions and practical exercises

Learning Objectives:

  • Understand the fundamental principles of AI safety and ethics.
  • Learn to design AI systems with human values and safety in mind.
  • Develop skills to implement robust safety mechanisms and ethical guidelines.
  • Gain knowledge of regulatory and legal frameworks governing AI.
  • Learn practical approaches to AI transparency, accountability, and governance.

Target Audience:

  • AI developers and engineers
  • Project managers and team leaders in AI projects
  • Regulatory and compliance officers
  • Policy makers and legal professionals
  • Anyone interested in AI safety and ethics

Program Modules:

Part 1: Introduction to AI Safety and Ethics

Module 1: Overview of AI and Its Impacts

  • Historical context and evolution of AI
  • Current and future applications of AI

Module 2: Ethical AI Design

  • Value alignment and human-centric AI
  • Transparency and explainability in AI systems
  • Case studies of ethical dilemmas in AI

Part 2: Technical and Human Oversight

Module 3: Robust and Safe AI Systems

  • Safety mechanisms and fail-safes in AI
  • Testing and validation of AI systems
  • Case studies on AI safety incidents

Module 4: Human Oversight in AI

  • Human-in-the-loop systems
  • Monitoring and control of AI behaviors
  • Real-world applications and best practices

Part 3: Regulatory, Governance, and Practical Measures

Module 5: Regulatory and Legal Frameworks

  • Overview of global AI regulations and standards
  • Accountability and legal implications for AI developers

Module 6: Collaboration and Governance

  • International cooperation on AI safety
  • AI governance models and structures
  • Public engagement and societal impacts

Module 7: Research and Development in AI Safety

  • Current research trends and future directions
  • Interdisciplinary approaches to AI safety
  • Practical measures for safe AI implementation

Certification Exam: Certified AI Safety and Ethics Specialist (CASES™)

  • Format: Multiple-choice and scenario-based questions
  • Duration: 2 hours
  • Passing Score: 70%