Data

As artificial intelligence (AI) becomes increasingly integrated into various aspects of life—ranging from healthcare to financial services—its potential to both enhance and disrupt systems has come under scrutiny. One of the most pressing issues is algorithmic bias, a problem that occurs when AI models, trained on flawed or incomplete data, reinforce existing societal prejudices.