Recognizing and Eliminating Bias in Artificial Intelligence - EnterpriseTalk

Over the last couple of years, the society has begun to wrestle with the extent to which human prejudices might infiltrate artificial intelligence systems, with potentially disastrous consequences. Being acutely aware of those risks and striving to eliminate them is an urgent priority at a time when many businesses are looking to adopt AI systems across their operations. Today, there are two major issues with machine learning. The first issue is the "black box" issue. Machine learning models are capable of making highly accurate predictions, but they lack the capacity to describe the reasons behind them in a way that is comprehensible to humans.