In a world fueled by digital data, the use of artificial intelligence is prolific—from the automation of human processes to discovering hidden insights at scale and speed. Machines can do many tasks far more efficiently and reliably than humans, resulting in everyday life that increasingly resembles science fiction. This inevitably sparks concern about controls—or lack thereof—to inspect and ensure these advanced technologies are used responsibly.
Consumers want reassurance about ethical use and fairness related to AI. Businesses need to mitigate the risk of unintended consequences when employing these advanced, complex solutions. Enter: Explainable AI, or XAI, an attempt to create transparency in the “black box” of artificial intelligence.
