• Online, Instructor-Led

Tonex presents the "Introduction to AI Safety, Security, and Quality" training, a dynamic program designed to equip professionals with the essential skills to navigate the complex landscape of artificial intelligence responsibly. This course delves into foundational principles of AI safety, exploring ethical considerations, and emphasizing the significance of responsible AI deployment. Participants will gain insights into securing AI systems against potential threats, ensuring the quality of AI solutions, and addressing biases in algorithms. With a focus on industry best practices and regulatory frameworks, this training empowers individuals to contribute to the development and deployment of AI technologies with a keen understanding of safety, security, and quality considerations.

Learning Objectives

  • Understand the fundamental concepts of AI safety, security, and quality.
  • Identify potential risks associated with the deployment of AI systems.
  • Explore techniques for ensuring the safety and security of AI applications.
  • Examine case studies of AI failures and their implications.
  • Learn best practices for designing AI systems with quality in mind.
  • Discuss ethical considerations in AI development and deployment.
  • Develop strategies for mitigating biases and unfairness in AI algorithms.
  • Understand the importance of transparency and accountability in AI systems.
  • Explore regulatory frameworks and standards related to AI safety and security.
  • Gain practical skills in evaluating and improving the robustness 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):