AI and the future of software quality: Quality assurance or automation?

The role of software testers is increasingly being changed by AI technologies. While AI systems are able to perform repetitive and standardized test cases automatically, the need for human quality assurance in the software development process is not reduced, but rather redefined. While AI can increase efficiency and detect errors early in the development cycle, complex systems and critical requirements continue to require human expertise. The article discusses how AI could change QA engines in software development – both through automation and an increased need for quality assurance. At the same time, the question of who is liable for errors and abuse in the AI-based world is also raised. A lawsuit against OpenAI shows that legal clarity regarding AI liability is still pending. In Germany, AI is already used in customer service, for example in online retail, although other services are not yet standardized. This development raises questions not only about technology, but also about the legal and ethical implications. While AI systems can increase efficiency, they do not replace the human view of quality and safety. The future of software quality probably lies in the combination of automation and human expertise. Integrating AI into software development requires not only technical adjustments, but also a reassessment of roles and responsibilities. In this context, it is important to take advantage of AI technologies without neglecting the human component. AI modulation in software development is an example of how AI can improve quality assurance without replacing human participation. The combination of AI and human expertise is likely to determine the future of software quality. In this context, it is important to take advantage of AI technologies without neglecting the human component. AI modulation in software development is an example of how AI can improve quality assurance without replacing human participation. The combination of AI and human expertise is likely to determine the future of software quality.