Eye on the Prize

AI Magazine

In its early stages, the field of AI had as its main goal the invention of computer programs having the general problem-solving abilities of humans. Along the way, a major shift of emphasis developed from general-purpose programs toward performance programs, ones whose competence was highly specialized and limited to particular areas of expertise. In this article, I claim that AI is now at the beginning of another transition, one that will reinvigorate efforts to build programs of general, humanlike competence. These programs will use specialized performance programs as tools, much like humans do.

England and US will not take tolerance test

BBC News

Schools in England and the United States will not be taking the new international Pisa test designed to assess respect for other cultures, challenge extremism and help identify fake news.

Japan to skip OECD's new global competence test for 15-year-olds

The Japan Times

Japan has no plans to participate in the Organisation for Economic Co-operation and Development's new test to assess the global competence of 15-year-olds around the world, Jiji Press has learned.

On Competence and Meta-Knowledge Gerhard Wickler Louise Pryor

AAAI Conferences

Department of Artificial Intelligence University of Edinburgh 80 South Bridge Edinburgh EH1 1HN Scotland {gwllouisep}@aisb.ed.ac.uk Abstract In this paper we define and attack the problem of competence assessment for intelligent agents. The basic idea is that we use metaknowledge to infer competence. The main contribution of this paper is a single rule that allows efficient competence assessment for any system with explicit strategic knowledge. The reason for this is that strategic knowledge already contains the right information. Cognitive evidence supports our theory. Competence and Intelligent Agents The Problem of Competence Assessment The problem we attempt to address in this paper is best illustrated by looking at an example. Consider the problem-solving activity of human problem solvers given the following simple physics problem1: A block of mass m starts from rest down a plane of length l inclined at an angle O with the horizontal. If the coefficient of friction between block and plane is #, what is the block's speed as it reaches the bottom of the plane? Given that the human problem solvers have some knowledge of physics in the form of equations that are appropriate to the problem, they will most likely answer the question whether they can solve this problem with "yes", i.e. they will state that they are competent to solve this particular problem instance.

The Chairman of Nokia on Ensuring Every Employee Has a Basic Understanding of Machine Learning -- Including Him


I've long been both paranoid and optimistic about the promise and potential of artificial intelligence to disrupt -- well, almost everything. Last year, I was struck by how fast machine learning was developing and I was concerned that both Nokia and I had been a little slow on the uptake. What could I do to educate myself and help the company along? As chairman of Nokia, I was fortunate to be able to worm my way onto the calendars of several of the world's top AI researchers. But I only understood bits and pieces of what they told me, and I became frustrated when some of my discussion partners seemed more intent on showing off their own advanced understanding of the topic than truly wanting me to get a handle on "how does it really work."