Human beings do show biases, and AI can aggravate these biases. It causes immense harm if the decisions are made on the basis of such algorithms. AI may work on learning. Algorithm accesses data and trains models on the basis of data. It results into intelligent algorithm. It is a combination of given data, its training algos and models selected. A bank has to distribute loans. The approach is to enquire about income level and education. However, if AI is used, it can overlook the fact that women have less income and less education than her male counterparts. Treated as data, it will incorporate historical bias — women earn less and are educated less than men. It is biased in favour of men to grant loans. Such biases have been propagated widely over the years.

To avoid such biases, we have to create fair algorithms. The methods used are classification, clustering and personalisation.

On social media, algorithms control the content we see. It is carefully picked and ordered and is not randomly chosen. Thus social media has the potential to create polarisation since its algorithms have a bias, for one kind of content or view. It offers more of such content. It makes you think that this is the truth.

Traditional media influences the audience, but it does so by promoting nuanced thinking. Social media has a single goal. It makes you engaged in one type of content. There is no layered thinking. It makes people fast, but more mechanical. AI changes our attention span too. To produce great art , you require focus, attention and practice.