“New Challenges in Software Quality Brought by GenAI and LLMs”
In this talk, we will delve into the emerging challenges that generative artificial intelligence (GenAI) and Large Language Models (LLMs) bring to the world of software quality and testing. We will explore how the integration, use, or design of solutions with GenAI models pose new challenges, including data quality and bias detection, dealing with non-determinism in our test automation and privacy and security concerns. We will review some proposals that are being implemented to adjust our testing tasks to the development of such systems, including approaches to automated testing and observability.
Bio
Driven by the challenge of making a positive impact through quality software, Federico Toledo boasts 18 years in the IT field. He’s the co-founder and Chief Quality Officer of Abstracta, a global tech company dedicated to creating impactful software solutions, focusing on testing, innovation and development. Federico holds a degree in Computer Engineering from the Universidad de la República in Uruguay, a Ph.D.in Computer Science from the Universidad de Castilla-La Mancha in Spain, and is also a proud graduate of the Stanford + LBAN SLEI program in 2021. A renowned speaker and author, he also hosts the “Quality Sense” podcast and its namesake conference, and the Latin American branch of the prestigious Workshop on Performance and Reliability, showcasing his unparalleled commitment to software excellence.
Social networks
- -> federico-toledo
- -> @fltoledo