Minds and Machines 

About: Minds and Machines is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Philosophy of mind & Philosophy of science. It has an ISSN identifier of 0924-6495. Over the lifetime, 993 publications have been published receiving 18912 citations.

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Abstract: This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.

GPT-3: Its Nature, Scope, Limits, and Consequences

Abstract: In this commentary, we discuss the nature of reversible and irreversible questions, that is, questions that may enable one to identify the nature of the source of their answers. We then introduce GPT-3, a third-generation, autoregressive language model that uses deep learning to produce human-like texts, and use the previous distinction to analyse it. We expand the analysis to present three tests based on mathematical, semantic (that is, the Turing Test), and ethical questions and show that GPT-3 is not designed to pass any of them. This is a reminder that GPT-3 does not do what it is not supposed to do, and that any interpretation of GPT-3 as the beginning of the emergence of a general form of artificial intelligence is merely uninformed science fiction. We conclude by outlining some of the significant consequences of the industrialisation of automatic and cheap production of good, semantic artefacts.

Universal Intelligence: A Definition of Machine Intelligence

Abstract: A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: we take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.

In the hands of machines? The future of aged care

Abstract: It is remarkable how much robotics research is promoted by appealing to the idea that the only way to deal with a looming demographic crisis is to develop robots to look after older persons. This paper surveys and assesses the claims made on behalf of robots in relation to their capacity to meet the needs of older persons. We consider each of the roles that has been suggested for robots in aged care and attempt to evaluate how successful robots might be in these roles. We do so from the perspective of writers concerned primarily with the quality of aged care, paying particular attention to the social and ethical implications of the introduction of robots, rather than from the perspective of robotics, engineering, or computer science. We emphasis the importance of the social and emotional needs of older persons--which, we argue, robots are incapable of meeting--in almost any task involved in their care. Even if robots were to become capable of filling some service roles in the aged-care sector, economic pressures on the sector would most likely ensure that the result was a decrease in the amount of human contact experienced by older persons being cared for, which itself would be detrimental to their well-being. This means that the prospects for the ethical use of robots in the aged-care sector are far fewer than first appears. More controversially, we believe that it is not only misguided, but actually unethical, to attempt to substitute robot simulacra for genuine social interaction. A subsidiary goal of this paper is to draw attention to the discourse about aged care and robotics and locate it in the context of broader social attitudes towards older persons. We conclude by proposing a deliberative process involving older persons as a test for the ethics of the use of robots in aged care.

Turing Test: 50 Years Later

Abstract: The Turing Test is one of the most disputed topics in artificial intelligence, philosophy of mind, and cognitive science This paper is a review of the past 50 years of the Turing Test Philosophical debates, practical developments and repercussions in related disciplines are all covered We discuss Turing's ideas in detail and present the important comments that have been made on them Within this context, behaviorism, consciousness, the `other minds' problem, and similar topics in philosophy of mind are discussed We also cover the sociological and psychological aspects of the Turing Test Finally, we look at the current situation and analyze programs that have been developed with the aim of passing the Turing Test We conclude that the Turing Test has been, and will continue to be, an influential and controversial topic