Why Data is to be Blamed for AI Bias

Aitechnology11 Oct, 2021Technology

AI bias occurs when a computer algorithm makes prejudiced decision based on data or programming rules. As these data have been collected by humans – they are subjective and often unrepresentative. AI helps us find insurance policies, work out if we are credit-worthy, and even diagnose our illness. So in many ways, these systems have improved our lives, saved our time on repetitive data entry and making accurate recommendations. In the last few years, however organizations from Apple to Google have come under scrutiny for apparent bias in their AI systems. Since most of the AI technology is designed to take the human guesswork out of decision-making, this bias is an ironic turn and one that can have sinister results. As more and more organizations began to implement AI, it is going to be crucial for tomorrow’s managers to recognize and stamp out their unfair biases.