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When AI can fall foul of bias

For all its processing power, artificial intelligence is fallible when it comes to detecting discrimination. Was Rahman highlights ways to safeguard your organisation’s integrity, including diversity monitoring, training, testing and a review of governance

Economic analysis

Removing discrimination is a priority. Responsibility starts with senior leadership and requires sustained effort involving initiatives such as education and awareness programmes, equality policies and diversity monitoring. But with the increasing use of data technologies such as artificial intelligence (AI) and intelligent automation, new forms of discrimination are appearing in the workplace. These need a different set of treatments, reflecting different causes.