
Garbage In, Garbage Out: The Importance of Quality Data for Fair & Unbiased AI
Striving to be “right” all the time may not be the best approach, and that being “less wrong” is a better option. Cognitive biases can be transferred to AI, leading to biased decision-making by algorithms and it is essential to address this issue by developing fairness-aware machine learning and explainable AI to reduce the impact of bias in AI systems.










