How computerizaton changes the UK Labour Market: The Facts viewed from a new Perspective

The digitisation of the world as a result of the introduction of computers, chips, and ICT, has undoubtedly been the most important technological development of the past few decades. The fact that more and more workers use computers has led to the conclusion that computer skills are becoming a key to social success. The aim of this paper is to contribute to the discussion of the effects of computerization on work. Our main conclusions are that the fear of a digital split in society appears unjustified. Although computers initially find their way primarily to the higher educated, practically all workers eventually end up working with computers. Absence of computer skills probably plays no role during this process of computerization. This does not mean, however, that there is no need for policies to optimise the economic potential of computers and ICT in general. Firstly, a properly developed infrastructure may be of importance for a rapid diffusion of the possibilities offered by ICT. This applies not only to the physical networks, but also to the availability of software and information. In addition, it may be expected that the educational requirements for workers will increase across the board and there will be changes in the knowledge and skills that people need to have. These are not primarily computer skills, but concern a much wider shift in the importance of various skills. Adjusting adequately to these changes requires reliable data. What is being measured and how the measurements are taken, will need to change considerably.education, training and the labour market;

How computerization changes the UK labour market: The facts viewed from a new perspective

The digitization of the world as a result of the introduction of computers, chips, and ICT, hasundoubtedly been the most important technological development of the past few decades. Thefact that more and more workers use computers has led to the conclusion that computer skillsare becoming a key to social success. The aim of this paper is to contribute to the discussion ofthe effects of computerization on work. Our main conclusions are that the fear of a digital splitin society appears unjustified. Although computers initially find their way primarily to thehigher educated, practically all workers eventually end up working with computers. Absence ofcomputer skills probably plays no role during this process of computerization. This does notmean, however, that there is no need for policies to optimise the economic potential ofcomputers and ICT in general. Firstly, a properly developed infrastructure may be ofimportance for a rapid diffusion of the possibilities offered by ICT. This applies not only to thephysical networks, but also to the availability of software and information. In addition, it maybe expected that the educational requirements for workers will increase across the board andthere will be changes in the knowledge and skills that people need to have. These are notprimarily computer skills, but concern a much wider shift in the importance of various skills.Adjusting adequately to these changes, requires reliable data. What is being measured and howthe measurements are taken, will need to change considerably.labour economics ;

Artificial Intelligence in the Context of Human Consciousness

Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which intelligent machines are capable of creating increasingly intelligent systems. Its implications, combined with the close relationship between humanity and their machines, make achieving understanding both natural and artificial intelligence imperative. Researchers are continuing to discover natural processes responsible for essential human skills like decision-making, understanding language, and performing multiple processes simultaneously. Artificial intelligence attempts to simulate these functions through techniques like artificial neural networks, Markov Decision Processes, Human Language Technology, and Multi-Agent Systems, which rely upon a combination of mathematical models and hardware

Audit and AI: Can Artificial Intelligence Restore Public Trust?

Due to the fallout from a series of corporate fraud scandals in the late 2000s, the auditing world has lost much of the public trust that is very important to the profession. Much of the value of an audit opinion is determined by the trust the public places in the auditors behind the opinion. Without trust in the auditors, the audit opinion has very little value. The recent increase in the usage of artificial intelligence (AI) in many industries presents a solution to the problem of auditors. Increased usage of AI in the audit process has the potential to better meet public demand for an audit as well as restore public trust

Whalesong

Cuts to impact UAJ, state -- Land purchases on hold -- UAJ musicians take to the halls with concerts -- Key to success: good management skills -- Editorial -- Letters to whale -- Faculty, staff and students: a little kudos for a change -- Basketball party receives funding -- Mildred and Herbert -- Burn them bodies down, boys -- Silence is the most eloquent form -- Trek to Crete to spark summer offerings at UAJ -- Richters: life on the road -- Student aid could receive reduction -- Tournament draws seventeen -- Housing: a strong, positive effect -- Whales hope to win in short game -- University takes steps to cut expense

Man and Machine: Questions of Risk, Trust and Accountability in Today's AI Technology

Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with commerce and society. Today's AI technology, such as expert systems and intelligent assistants, pose some difficult questions of risk, trust and accountability. In this paper, we present these concerns, examining them in the context of historical developments that have shaped the nature and direction of AI research. We also suggest the exploration and further development of two paradigms, human intelligence-machine cooperation, and a sociological view of intelligence, which might help address some of these concerns.Comment: Preprin

Why Philosophers Should Care About Computational Complexity

One might think that, once we know something is computable, how efficiently it can be computed is a practical question with little further philosophical importance. In this essay, I offer a detailed case that one would be wrong. In particular, I argue that computational complexity theory---the field that studies the resources (such as time, space, and randomness) needed to solve computational problems---leads to new perspectives on the nature of mathematical knowledge, the strong AI debate, computationalism, the problem of logical omniscience, Hume's problem of induction, Goodman's grue riddle, the foundations of quantum mechanics, economic rationality, closed timelike curves, and several other topics of philosophical interest. I end by discussing aspects of complexity theory itself that could benefit from philosophical analysis.Comment: 58 pages, to appear in "Computability: G\"odel, Turing, Church, and beyond," MIT Press, 2012. Some minor clarifications and corrections; new references adde