This session will explore the role of Quality Assurance (QA) in AI, drawing from its rich history and evolution to underscore its significance in designing systems that are not only efficient but also trustworthy.

In conclusion, this session will offer insights into the critical role of Quality Assurance in building AI systems that are not only technologically advanced but also reliable and trustworthy. Through the lens of agricultural AI, we will explore practical examples of QA at work, paving the way for a future where AI can be embraced with confidence.