Artificial Intelligence Will Empower Clinical Judgment and Common Sense, Not Impair or Replace Them

2019 ◽  
Vol 30 (7) ◽  
pp. 1933-1934
Author(s):  
Mutaz B. Habal
Author(s):  
Subrata Dasgupta

Many ordinary problems and everyday activities are not conducive to algorithmic solutions. Yet, people do perform these tasks and solve such problems, so what other computational means are available to perform such tasks? The answer is to resort to a mode of computing that deploys heuristics—rules, precepts, principles, hypotheses based on common sense, experience, judgement, analogies, informed guesses, etc., which offer promise but are not guaranteed to solve problems. Heuristic computing encompasses both heuristic search and heuristic algorithms. ‘Heuristic computing’ explains a meta-heuristic called ‘satisficing’; the difference between exact and heuristic algorithms; how heuristics is used in artificial intelligence; weak and strong methods; and how to interpret heuristic rules.


Author(s):  
John Horty

The task of formalizing common-sense reasoning within a logical framework can be viewed as an extension of the programme of formalizing mathematical and scientific reasoning that has occupied philosophers throughout much of the twentieth century. The most significant progress in applying logical techniques to the study of common-sense reasoning has been made, however, not by philosophers, but by researchers in artificial intelligence, and the logical study of common-sense reasoning is now a recognized sub-field of that discipline. The work involved in this area is similar to what one finds in philosophical logic, but it tends to be more detailed, since the ultimate goal is to encode the information that would actually be needed to drive a reasoning agent. Still, the formal study of common-sense reasoning is not just a matter of applied logic, but has led to theoretical advances within logic itself. The most important of these is the development of a new field of ‘non-monotonic’ logic, in which the conclusions supported by a set of premises might have to be withdrawn as the premise set is supplemented with new information.


2019 ◽  
Vol 8 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Clea Bourne

Public relations’ (PR) professional habitus is defined by a relentless focus on optimism and futurity. This professional habitus renders PR indispensable to the corporate world after crisis, when new, potentially controversial, growth strategies must be sold-in to stakeholders. This article argues that PR’s professional habitus is heavily influenced by neoliberalism, an ideology which ‘confidently identifies itself with the future’. The discussion is timely, as 21st-century neoliberal capitalism becomes redefined by artificial intelligence (AI). The article combines PR theory, communications theory and political economy to consider the changing shape of neoliberal capitalism, as AI becomes naturalised as ‘common sense’ and a ‘public good’. The article explores how PR supports AI discourses, including promoting AI in national competitiveness and promoting ‘friendly’ AI to consumers, while promoting Internet inequalities. The article concludes that the PR profession’s myopia regarding the implications of promoting AI and neoliberalism is shaped by poor levels of diversity in the PR profession.


2020 ◽  
Vol 24 (11) ◽  
pp. 862-872 ◽  
Author(s):  
Murray Shanahan ◽  
Matthew Crosby ◽  
Benjamin Beyret ◽  
Lucy Cheke

Common-sense morality implicitly assumes that reasonably clear distinctions can be drawn between the ‘full’ moral status usually attributed to ordinary adult humans, the partial moral status attributed to non-human animals, and the absence of moral status, usually ascribed to machines and other artefacts. These assumptions were always subject to challenge; but they now come under renewed pressure because there are beings we are now able to create, and beings we may soon be able to create, which blur traditional distinctions between humans, non-human animals, and non-biological beings. Examples are human non-human chimeras, cyborgs, human brain organoids, post-humans, human minds that have been uploaded into computers and onto the internet, and artificial intelligence. It is far from clear what moral status we should attribute to any of these beings. While commonsensical views of moral status have always been questioned, the latest technological developments recast many of the questions and raise additional objections. There are a number of ways we could respond, such as revising our ordinary suppositions about the prerequisites for full moral status. We might also reject the assumption that there is a sharp distinction between full and partial moral status. The present volume provides a forum for philosophical reflection about the usual presuppositions and intuitions about moral status, especially in light of the aforementioned recent and emerging technological advances.


2017 ◽  
Vol 10 (2) ◽  
pp. 135-144
Author(s):  
Oxana Igorevna ELKHOVA ◽  
Alexandr Fedorovich KUDRYASHEV

The article is devoted to the philosophical analysis of the creative process in systems with artificial intelligence. In this article we aim to highlight the common methodological background modeling of the creative process in systems with artificial intelligence. This process seems to be a purposeful transformation, implying the reflection of any area of reality and construction of a new product. The creative process includes two stages: search and composition. The conclusion is that systems with artificial intelligence cannot yet compete with a person at the pilot stage as they do not have an information database that can be compared with the database of a person’s common sense. The authors argue that there are no insurmountable obstacles to artificial intelligence, in principle, and that it will be able to compete with man in creativity in the future.


Dialogue ◽  
1998 ◽  
Vol 37 (1) ◽  
pp. 117-130
Author(s):  
Tim Kenyon

John Searle's The Rediscovery of the Mind comprises two related projects. The first is to show that philosophy of mind since Descartes has been not merely false, but obviously false. The materialist tradition—as Searle encapsulates behaviourism, type and token identity theories, functionalism, Artificial Intelligence, and eliminativism—consists of more or less crazy positions, with a crucial shared trait: they “leave out” the mind, the very thing they were to explain. Searle's second concern is to sketch his own theory of mind, a “common-sense” view that is, he claims, obviously true, and thus is a sharp departure from the madness of the various received views of this century.


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