• Online, Instructor-Led

The Fundamentals of Trustworthy AI Training Course offered by Tonex is designed to equip participants with the essential knowledge and skills to understand, develop, and implement AI systems that prioritize trustworthiness. In an age where AI technologies are increasingly integrated into various facets of society, ensuring that these systems are reliable, ethical, and accountable is paramount. Through a comprehensive curriculum, participants will explore the foundational principles, methodologies, and best practices essential for building AI solutions that prioritize transparency, fairness, privacy, and security. Real-world case studies and practical exercises will provide hands-on experience in assessing, designing, and managing AI systems with a focus on trustworthiness.

Learning Objectives

  • Understand the principles of Trustworthy AI.
  • Examine the ethical implications of AI technologies.
  • Analyze the societal impact of AI deployment.
  • Explore methods for ensuring transparency and accountability in AI systems.
  • Evaluate techniques for fairness and bias mitigation in AI algorithms.
  • Discuss the importance of privacy and data protection in AI applications.
  • Learn about regulatory frameworks and guidelines for responsible AI development and deployment.
  • Develop critical thinking skills to assess the trustworthiness of AI systems.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):