In today’s world, the influence of artificial intelligence (AI) is ubiquitous, from assisting doctors in making quicker diagnoses to recommending the next TV show you’ll binge on, and even in managing your finances. As AI becomes increasingly integral to our daily lives, the importance of these systems operating reliably and fairly cannot be overstated. A single small mistake, such as a biased algorithm or an overlooked error, can lead to serious, even life-changing, consequences. This highlights the critical role of quality assurance (QA) in the development of AI technologies. To gain deeper insights into the challenges faced and the significance of QA in AI, we spoke with Saurabh Kapoor, a Senior Quality Assurance Engineer at Amazon. Mr. Kapoor, who has been working at the forefront of this rapidly evolving field, shared valuable perspectives on the intricacies of ensuring AI systems are both effective and equitable.
Mr. Kapoor’s journey into software …