by Kristinn R. Thórisson,
Directing Manager of IIIM and Aperio Program Director
The educational system has never been as important as it is now. We have established a robust educational system with subdivisions along students’ age and “level”; but, while the system offers a variety of topics to study, it also has some drawbacks. One of them is the idea that, since it is impossible to teach anything and everything from A to Z in the first 10-15 years of a person’s education, a subset of targeted teaching material and topics must be chosen from a larger set. Continue reading Bucking Copy-Paste Mentality in the Mass-Production of Knowledge – A Personal View→
At its inception in the 1950s, AI aimed at producing human level general intelligence in machines. Within a decade or so the difficulty of that goal became evident, and it was scaled back to one of producing systems displaying intelligence within narrow domains. Over the past few years, however, there has been a resurgence of research interest in the original goals of AI, based on the assessment that, due to advances in computer hardware, computer science, cognitive psychology, neuroscience and domain-specific AI, we are in a far better position to approach these goals than were the founders of AI.
In this essay, I am going to discuss four basic questions about Artificial Intelligence (AI):
-What is AI?
-Can AI be built?
-How to build AI?
-Should AI be built?
Every AI researcher probably has answers to these questions, and so do many people interested in AI. These questions are “basic”, since the answers to them are often dependent on by the answers to many other questions in AI.
by Kristinn R. Thórisson,
