This discussion on how an AI program was able to perform in the top 20% of students on an entrance exam without understanding anything on the exam is a great showcase of the current limitations and dangers of AI.
AI is currently really great at search optimization. It can find the 'statistically most likely' answer to standardized question types. However, it struggles when the question requires an understanding of context and meaning to derive the answer.
Comprehension truly seems like the only factor here limiting wider AI adoption. Would a consumer trust their AI financial adviser if all advice was based off statistics and not an understanding of the unique costumer needs?
AI as a technology is without a doubt disruptive and we need to better understand how we can coexist with it based off both its current applications and its theoretical growth.
Noriko Arai: Can a robot pass a university entrance exam?
Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo -- without actually understanding a thing. While it's not matriculating anytime soon, Todai Robot's success raises alarming questions for the future of human education. How can we help kids excel at the things that humans will always do better than AI?