What is Explainable AI, and How Does it Apply to Data Ethics? - AI for Good Foundation

The field of XAI has been rapidly growing in the past few years, especially due to the increased awareness and urgency of the need for transparency in AI models. The status quo in AI research is the existence of a "black box" in machine learning; essentially, AI models intake so much data and create such complicated neural networks to meet their outcomes, the researchers themselves do not even know what exactly transpires in the collection and analysis of Big Data by AI algorithms. Outcries against racial bias and a lack of data privacy have mounted as AI has become more ingrained in our lives, and thus far, there have been few solutions.