As the AI revolution advances into newer territories, the testing techniques should also evolve along with them. Trends indicate multi-layered verification techniques that integrate formal approaches, adaptive checks, bias detection frameworks, and bespoke, smaller language models strictly meant for verification and validation. These methods will become more important with each day in ensuring that AI remains transparent, accountable, and ethical.
It won’t be incidentally that the AI will work well but will need structured purpose-built verification frameworks for that. The companies will at least know that the use of this kind of technology to move AI-driven solutions is right, safe, and ethical. Ankit Awasthi speaks about the importance of keeping verification in building a digital future that is to be trusted.
