Transparency and human supervision are essential because AI can produce an answer that looks convincing even when the underlying data or reasoning is flawed.

AI can make decisions faster than humans, but speed does not remove responsibility. When an AI system produces a biased recommendation, exposes sensitive information, or gives a harmful answer, it can be difficult to determine who should be held accountable.<div>As businesses rely more heavily on AI, responsibility cannot simply be passed to the technology.</div>

Responsible AI requires more than a better performance. Transparency and human oversight help prevent harmful decisions, reduce bias, and ensure that AI remains accountable to the people it affects.

I honestly think transparency and human supervision are very important, because AI can get things wrong no matter how advanced it becomes. We shouldn’t just accept an AI decision because “the system said so.” People need to be able to question how that decision was made and step in when something doesn’t look right.

Well the AI can only be as responsible as the developer. There should be clear guidelines that govern those responsible for building different types of AI depending on their functions. Besides I am sure test’s are carried out before implementation to avoid such issues.

Speed does not remove responsibility. When an AI makes a biased decision or exposes sensitive information, it is difficult to hold the technology accountable without clear oversight.

Transparency and human oversight are vital to responsible AI. While AI processes information efficiently, it can miss human context or make harmful errors. Transparency explains data use and, when possible, decision making, while human review can correct mistakes, such as a doctor catching an AI’s incorrect low risk assessment.