Focus on People in the AI Era
Speaker
Target audience
Basic (no prior knowledge)
Description
As AI becomes more integrated into software development and testing, the role of people remains central. Behind every automated system is still a human trying to express intent clearly - and that remains a challenge.
This talk reflects on how software evolution has consistently aimed to improve communication, from low-level programming to modern languages and from rigid methodologies to more people-focused approaches. As we move into an era of interacting with AI systems, the need for clear communication becomes even more critical.
The session explores why clarity, structured processes, and effective communication are essential when working with both humans and AI. It also highlights how cognitive biases can influence decision-making and impact quality.
Through examples and reflections, the talk emphasizes that improving how we communicate -through requirements, collaboration, and shared understanding - is key to making both QA practices and AI systems effective.
You will learn
Why clear communication is critical for both QA practices and AI-driven systems
How software and process evolution has focused on improving human–machine communication
How miscommunication impacts quality and testing outcomes
How cognitive biases influence decision-making in testing
Practical ways to improve clarity and communication in QA processes