Author name: Nishkam Batta

When we launched HonestAi , artificial intelligence was riding a wave of optimism, anxiety, and a fair amount of science […]

In a world increasingly shaped by algorithms, trust is often spoken of as a moral imperative. But there’s another reason

Trust in AI doesn’t happen by accident—it’s engineered through deliberate choices at every stage of the product lifecycle. Whether it’s

As artificial intelligence becomes a quiet force behind the apps we use, the jobs we apply for, and even the

In the race to build smarter AI, some companies act as if transparency is a liability. They fear that opening

As artificial intelligence becomes embedded in everything from healthcare to hiring platforms, trust has emerged as the cornerstone of responsible

In northern Nigeria, a maternal health app called MomConnect NG struggled with accuracy. Why? It relied on English-centric NLP models that

The idea that technology is neutral is a myth. Every dataset tells a story—not just of numbers, but of people,

Artificial Intelligence systems are only as good as the data they learn from. But what happens when that data is

In the age of artificial intelligence, datasets are more than just collections of information—they are the DNA of algorithmic decision-making.