One of the greatest strengths of artificial intelligence (AI) – its ability to learn and adapt over time – could also be its Achilles’ heel.
When a product or service can learn and evolve through experience and interactions with human beings, it can be hard to pinpoint who is responsible when something goes wrong. How to allow for this dynamism and, at the same time, build trust in artificial intelligence was one of the key topics of debate in a Science|Business webinar entitled:
AI: Who is Liable? - the latest in a series produced by Science|Business Data Rules group.
“You see association effects where man and machine work together in a specific context, but it is unclear what the machine has learned from man, and what man has learned from the machine,’ noted Evert Stamhuis, senior fellow at the Jean Monnet Centre of Excellence Digital Governance, Erasmus University Rotterdam.