As we all wade through the incredible era of life dominated by Artificial Intelligence (AI), we can’t help but notice that not everything is perfect. In particular, it is not difficult to notice that bias is inherent in the datasets that we rely on so much for making AI transform everything, but often result in upending our lives. AI models in general and Generative AI (GenAI) models in particular are trained with available datasets. If this data turns out to be biased, then every aspect of the model and its prediction or classification or recommendation could be biased and could also have a massive bullwhip effect. Data remains a fundamental bottleneck in our ability to let businesses and consumers realize the full potential of the expected and associated benefits
