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. Artificial intelligence assists us with discovering protection strategies, work out in case we are credit-commendable, and even analyze our ailment. So in numerous ways, these frameworks have worked on our lives, saved our experience on dreary information section and making precise suggestions. Over the most recent couple of years, but associations from Apple to Google have gone under investigation for obvious predisposition in their AI frameworks. 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. AI is Bias: It’s in the data and not the algorithm What's more, assuming you profound jump into the idea of predisposition in AI, you will understand that the inquiry to your answer would be information. There are four types of bias: Sample Bias/Selection Bias: Prejudices and Stereotypes: Systematic Value Distortion: Model Insensitivity: Read more about AI Bias on our website