Lilia Gargouri
Lilia Gargouri is Head of QA, Senior Software Developer, Senior Quality Engineer, ISTQB® Glossary Chair, and member of the German Testing Board (GTB).
She is an internationally recognized speaker and expert in Quality Engineering, Software Engineering, and AI, with extensive experience delivering sustainable, scalable, and resilient software systems for complex eGovernment environments. As the inventor of a model-based low-code test automation solution, she has significantly advanced quality assurance for business-critical software.
Lilia is passionate about responsible AI adoption, digital accessibility, and empowering women in technology.
Lilia Gargouri
Lilia Gargouri is Head of QA, Senior Software Developer, Senior Quality Engineer, ISTQB® Glossary Chair, and member of the German Testing Board (GTB).
She is an internationally recognized speaker and expert in Quality Engineering, Software Engineering, and AI, with extensive experience delivering sustainable, scalable, and resilient software systems for complex eGovernment environments. As the inventor of a model-based low-code test automation solution, she has significantly advanced quality assurance for business-critical software.
Lilia is passionate about responsible AI adoption, digital accessibility, and empowering women in technology.
Lilia Gargouri
Lilia Gargouri is Head of QA, Senior Software Developer, Senior Quality Engineer, ISTQB® Glossary Chair, and member of the German Testing Board (GTB).
She is an internationally recognized speaker and expert in Quality Engineering, Software Engineering, and AI, with extensive experience delivering sustainable, scalable, and resilient software systems for complex eGovernment environments. As the inventor of a model-based low-code test automation solution, she has significantly advanced quality assurance for business-critical software.
Lilia is passionate about responsible AI adoption, digital accessibility, and empowering women in technology.
CALENDAR
Keynote
27 October
AI & Accessibility Testing: Replacement or Reinforcement?
Accessibility testing has long relied on a combination of automated tools and manual evaluation. While automation efficiently identifies many technical issues, it cannot determine whether an application is truly accessible and usable for people with disabilities. Human judgment remains essential.
With the rapid evolution of AI, a new question emerges: can AI go beyond traditional rule-based tools and meaningfully support—or even replace—manual accessibility testing?
With the rapid evolution of AI, a new question emerges: can AI go beyond traditional rule-based tools and meaningfully support—or even replace—manual accessibility testing? This session explores the current capabilities of AI-driven accessibility testing, reviews emerging solutions, and examines where AI adds real value and where human expertise is still irreplaceable. Attendees will gain a realistic view of the opportunities, limitations, and future potential of AI in delivering accessible software, along with practical guidance on integrating AI into existing testing strategies.
Workshop Sessions
Half-Day
25 Outubro
This half-day workshop explores how artificial intelligence can revolutionize digital accessibility testing. Participants will learn how AI-driven tools and intelligent automation can enhance the detection, reporting, and prioritization of accessibility issues across digital products.
The session bridges the gap between human empathy and machine precision — illustrating how technology can make inclusion measurable, scalable, and impactful. Through real-world examples, attendees will see how accessibility and AI intersect to create truly human-centered digital experiences.
Calendar
Keynote
27 October
AI & Accessibility Testing: Replacement or Reinforcement?
Accessibility testing has long relied on a combination of automated tools and manual evaluation. While automation efficiently identifies many technical issues, it cannot determine whether an application is truly accessible and usable for people with disabilities. Human judgment remains essential.
With the rapid evolution of AI, a new question emerges: can AI go beyond traditional rule-based tools and meaningfully support—or even replace—manual accessibility testing?
With the rapid evolution of AI, a new question emerges: can AI go beyond traditional rule-based tools and meaningfully support—or even replace—manual accessibility testing? This session explores the current capabilities of AI-driven accessibility testing, reviews emerging solutions, and examines where AI adds real value and where human expertise is still irreplaceable. Attendees will gain a realistic view of the opportunities, limitations, and future potential of AI in delivering accessible software, along with practical guidance on integrating AI into existing testing strategies.
Workshop Sessions
Half-Day
26 October
This half-day workshop explores how artificial intelligence can revolutionize digital accessibility testing. Participants will learn how AI-driven tools and intelligent automation can enhance the detection, reporting, and prioritization of accessibility issues across digital products.
The session bridges the gap between human empathy and machine precision — illustrating how technology can make inclusion measurable, scalable, and impactful. Through real-world examples, attendees will see how accessibility and AI intersect to create truly human-centered digital experiences.
