Quality Assurance in AI and Automation
Quality Assurance in AI and Automation is the systematic process of ensuring the reliability, performance, and safety of AI and automated systems. It involves practices to identify and rectify defects, verify system accuracy, and manage risks, thus ensuring the delivery of high-quality AI-driven applications and machinery.
Level 1: Emerging
At an emerging level, you are beginning to understand Quality Assurance principles in AI and Automation, and can apply basic validation techniques under supervision.
Level 2: Proficient
At a proficient level you are able to design and implement quality assurance processes in AI and automation effectively, ensuring that all systems meet the necessary standards and requirements.
Level 3: Advanced
At an advanced level you are proficient in implementing advanced Quality Assurance techniques in AI and Automation, ensuring high-quality and reliable performance of automated processes and algorithms.
