To Be Ethical, AI Must Become Explainable. How Do We Get There? - Liwaiwai

AI can now write realistic-sounding text, give debating champs a run for their money, diagnose illnesses, and generate fake human faces--among much more. After training these systems on massive datasets, their creators essentially just let them do their thing to arrive at certain conclusions or outcomes. The problem is that more often than not, even the creators don't know exactly why they've arrived at those conclusions or outcomes. There's no easy way to trace a machine learning system's rationale, so to speak. The further we let AI go down this opaque path, the more likely we are to end up somewhere we don't want to be--and may not be able to come back from.