Companies often use AI technologies to sift through huge amounts of data in situations such as an oversubscribed job vacancy or in policing when there is a large volume of CCTV data linked to a crime.

AI sorts through the data, grouping it to form a manageable number of clusters, which are groups of data with common characteristics.

‘’It is then much easier for an organisation to analyse manually and either shortlist or reject the entire group. However, while AI can save on time, the process is often biased in terms of race, gender, age, religion and country of origin,’’ a IIT-M release said here on Wednesday.

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