AI models are being trained by vast amounts of data, and therefore are likely to show algorithmic bias. The model may falter while describing a political person’s leanings — whether dictatorial, fascist or democratic. The answers cannot be person specific and could sync with the ideological and political predilections of users. The issue is over-dependence on AI model far factually correct answers. It is forgotten that objective fact is a mirage. Carr, a historian, says facts are akin to fish swimming in a vast ocean. What historian catches, partly by chance, depends on the part of ocean he chooses to fish in, and the tackle he chooses to use. These two factors are being determined by the kind of fish he wants to catch. By and large, the historian gets the kind of facts he wants.

Thus, as Carr points out, historical facts are never objective. Of course, public opinion is influenced by the selection and arrangements of facts. As the popular maxim goes, facts speak for themselves. No, facts speak only when the historian calls on them.

A written work on social subjects would be judged on after examining the background of the writer. It facilitates the understanding of biases. In AI models, all of us expect 100 percent factual answers. The answers depend on the kind of dataset used to train the model.

AI content should be taken with a pinch of salt.