AI in QA: how to use Generative AI in testing without creating technical debt
NeutralTechnology

- The use of generative AI in quality assurance (QA) is being scrutinized as one-shot autonomous testing tools are failing to deliver reliable results. A shift towards a human-driven approach in AI testing is being advocated to prevent the accumulation of technical debt, which can hinder long-term project success.
- This development is significant as organizations increasingly rely on AI technologies for efficiency and cost reduction. However, the potential for technical debt raises concerns among IT managers, with many fearing that AI could complicate rather than simplify their processes.
- The broader conversation around AI in various sectors highlights a tension between the promise of automation and the reality of its implementation. Issues such as transparency, accountability, and the ethical implications of AI are becoming central to discussions on how to effectively integrate these technologies without incurring additional risks.
— via World Pulse Now AI Editorial System







