scholarly journals IA confiable del Instituto de Ingeniería Eléctrica y Electrónica | Reliable AI of the Institute of Electrical and Electronic Engineering

2019 ◽  
Author(s):  
Juan Antonio Lloret Egea

“AI will be such a program which in an arbitrary world will cope not worse than a human” (Dobrev 2004, 2); “Artificial intelli-gence is the enterprise of constructing a symbol sys-tem that can reliably pass the Turing test” (Ginsberg 2012, 9); See Figure 1.1 Russell and Norvig (1995 page 5). “Artificial intelli-gence is a field of com-puter science concerne dwith the computational understanding of what is commonly called intelli-gent behavior and with the creation of artifacts that exhibit such behav-ior. This definition may e examined more closely by considering the field from three points of view: computational psychology (the goal of which is to understand human intelli-gent behvaior by creating computer programs that behave in the same way that people do), computa-tional philosopy (the goal of which is to form a com-putational understanding of human-level intelligent behavior, without being resticted to the algorithms and data structures that the human mind actually does use), and machine intelligence (the goal of which is to expand the fronteir of what we know how to program” (Reilly 2004, 40-41).

Author(s):  
Hector Geffner

During the 60s and 70s, AI researchers explored intuitions about intelligence by writing programs that displayed intelligent behavior. Many good ideas came out from this work but programs written by hand were not robust or general. After the 80s, research increasingly shifted to the development of learners capable of inferring behavior and functions from experience and data, and solvers capable of tackling well-defined but intractable models like SAT, classical planning, Bayesian networks, and POMDPs. The learning approach has achieved considerable success but results in black boxes that do not have the flexibility, transparency, and generality of their model-based counterparts. Model-based approaches, on the other hand, require models and scalable algorithms. Model-free learners and model-based solvers have indeed close parallels with Systems 1 and 2 in current theories of the human mind: the first, a fast, opaque, and inflexible intuitive mind; the second, a slow, transparent, and flexible analytical mind. In this paper, I review developments in AI and draw on these theories to discuss the gap between model-free learners and model-based solvers, a gap that needs to be bridged in order to have intelligent systems that are robust and general.


Author(s):  
Bradley E. Alger

This chapter makes the case for the scientific hypothesis from two quite different points of view: statistical and cognitive. The consideration of statistical advantages picks up from the discussion of the Reproducibility Crisis in the previous chapter. First, it explores reasoning that shows that hypothesis-based research will, as a general rule, be much more reliable than, for example, open-ended gene searches. It also revives a procedure, Fisher’s Method for Combining Results that, though rarely used nowadays, underscores the strengths of multiple testing of hypotheses. Second, the chapter goes into many cognitive advantages of hypothesis-based research that exist because the human mind is inherently and continually at work trying to understand the world. The hypothesis is a natural way of channeling this drive into science. It is also a powerful organizational tool that serves as a blueprint for investigations and helps organize scientific thinking and communications.


2020 ◽  
Vol 30 (4) ◽  
pp. 513-532
Author(s):  
Michael Wheeler

AbstractThe Turing Test is routinely understood as a behaviourist test for machine intelligence. Diane Proudfoot (Rethinking Turing’s Test, Journal of Philosophy, 2013) has argued for an alternative interpretation. According to Proudfoot, Turing’s claim that intelligence is what he calls ‘an emotional concept’ indicates that he conceived of intelligence in response-dependence terms. As she puts it: ‘Turing’s criterion for “thinking” is…: x is intelligent (or thinks) if in the actual world, in an unrestricted computer-imitates-human game, x appears intelligent to an average interrogator’. The role of the famous test is thus to provide the conditions in which to examine the average interrogator’s responses. I shall argue that Proudfoot’s analysis falls short. The philosophical literature contains two main models of response-dependence, what I shall call the transparency model and the reference-fixing model. Proudfoot resists the thought that Turing might have endorsed one of these models to the exclusion of the other. But the details of her own analysis indicate that she is, in fact, committed to the claim that Turing’s account of intelligence is grounded in a transparency model, rather than a reference-fixing one. By contrast, I shall argue that while Turing did indeed conceive of intelligence in response-dependence terms, his account is grounded in a reference-fixing model, rather than a transparency one. This is fortunate (for Turing), because, as an account of intelligence, the transparency model is arguably problematic in a way that the reference-fixing model isn’t.


1858 ◽  
Vol 4 (26) ◽  
pp. 477-507
Author(s):  
J. C. B.

Macbeth, the most awful creation of the poetic mind, is a study every way worthy of those to whom the storms of passion present the frequent cause of mental disease. The historian studies the temper of the mind in its most ardent heats, that he may gain a clue to the causation of human events; the statesman, that he may obtain foreknowledge of tendencies to human action; and the psychologist, for the more beneficent purpose of acquiring that knowledge as the means of alleviating the most terrible of calamities, and of doing that which the terrified physician in this tragedy dared not attempt, of “ministering to the mind diseased.” The philosopher studies the laws of storms, that he may teach the mariner to avoid the destructive circle of their influence; and the physician, whose noble object of study is the human mind, seizes every opportunity of making himself acquainted with the direction and events of its hurricane movements, that he may perchance lead some into a port of safety, or at least that he may assist in the restoration of the torn and shattered bark. But to stand on one side and calmly contemplate the phenomena of human passion, like the chorus in the old Greek drama, is the lot of few. When the elements of human passion are in fierce strife, there is no near standing-place for the foot of science, like the deck of the great steamer which allowed Scoresby to measure the force and speed of the wild Atlantic wave. The vortex of passion tends to draw in all who float near; and tranquil observation of its turmoil can only be made from a standing point more or less remote. On all actual occasions, indeed, it behoves the man whose object of study and of care is the human mind, to observe accurately its phenomena, and to test its springs and sources of action; but it behoves him to accept the testimony of those who have weathered the storm, and also gratefully to appreciate any assistance he may obtain from others who contemplate the same phenomena from different points of view to his own: and there is no one from whom he will derive help of such inestimable value, as from him whose high faculties enables him to contemplate human nature, as it were, from within. The Poet or maker, the same intrinsically with the Seer or gifted observer, is the best guide and helpmate with whom the psychologist can ally himself. He is like the native of a country to whom mountain and stream and every living thing are known, acting as instructor and guide to the naturalist, whose systems and classifications he may hold in slight esteem, but with whom he has a common love and a more personal knowledge for all their objects. Compared with the assistance which the psychologist derives from the true poet, that which he obtains from the metaphysician is as sketchy and indistinct as the theoretical description of a new country might be, given by one who had never been therein, as the description of Australia might be, drawn from the parallel of its climate and latitude with South America or China.


1971 ◽  
Vol 1 (1) ◽  
pp. 75-86
Author(s):  
Gareth B. Matthews
Keyword(s):  
The Body ◽  
Know How ◽  
The Mind ◽  

For when men pray they do with the members of their bodies what befits suppliants—when they bend their knees and stretch out their hands, or even prostrate themselves, and whatever else they do visibly, although their invisible will and the intention of their heart is known to God. Nor does He need these signs for the human mind to be laid bare to Him. But in this way a man excites himself to pray more and to groan more humbly and more fervently. I do not know how it is that, although these motions of the body cannot come to be without a motion of the mind preceding them, when they have been made, visibly and externally, that invisible inner motion which caused them is itself strengthened. And in this manner the disposition of the heart which preceded them in order that they might be made, grows stronger because they are made. Of course if someone is constrained or even bound, so that he cannot do these things with his limbs, it does not follow that, when he is stricken with remorse, the inner man does not pray and prostrate himself before the eyes of God in his most secret chamber.(Augustine: De cura pro mortuis 5.7)One smiles and tells the expert chef how good the sauce béarnaise is, not so much to inform him about the sauce (he knows better than we do how good it is) as to assure him that we are enjoying it and that we appreciate his efforts. But when a man kneels in his pew and repeats a litany of thanksgiving it is not, it seems, that he means to be informing God of anything—not even of his thankfulness. For God, unlike the chef, has no need of information.


Author(s):  
Dawei Wang ◽  
Kai Chen ◽  
Wei Wang

Smart speakers, such as Google Home and Amazon Echo, have become popular. They execute user voice commands via their built-in functionalities together with various third-party voice-controlled applications, called skills. Malicious skills have brought significant threats to users in terms of security and privacy. As a countermeasure, only skills passing the strict vetting process can be released onto markets. However, malicious skills have been reported to exist on markets, indicating that the vetting process can be bypassed. This paper aims to demystify the vetting process of skills on main markets to discover weaknesses and protect markets better. To probe the vetting process, we carefully design numerous skills, perform the Turing test, a test for machine intelligence, to determine whether humans or machines perform vetting, and leverage natural language processing techniques to analyze their behaviors. Based on our comprehensive experiments, we gain a good understanding of the vetting process (e.g., machine or human testers and skill exploration strategies) and discover some weaknesses. In this paper, we design three types of attacks to verify our results and prove an attacker can embed sensitive behaviors in skills and bypass the strict vetting process. Accordingly, we also propose countermeasures to these attacks and weaknesses.


Retos ◽  
2015 ◽  
pp. 29-34
Author(s):  
Santiago Romero Granados ◽  
María Encarnación Garrido Guzmán ◽  
María Luisa Zagalaz Sánchez

El presente artículo surge del interés por conocer el comportamiento que tienen los padres en la práctica deportiva de su hijo en las Escuelas Deportivas Municipales de la ciudad de Sevilla. Se trata precisamente, de conocer hasta qué punto los padres son capaces de implicarse en el deporte que practican sus hijos, qué comportamientos adoptan y qué puntos de vista tienen los técnicos deportivos y los propios niños de dicha implicación, analizando si todo ello se realiza de manera educativa o no. El estudio está formado por una muestra de padres, niños y técnicos de las diferentes Escuelas Deportivas Municipales de Sevilla capital, a los cuales se les pasó un cuestionario de preguntas relacionadas con el comportamiento y actitudes de los padres en el deporte de sus hijos, tanto a nivel de entrenamientos como a nivel de competiciones en las que sus hijos participan. Los resultados muestran que la participación depende en gran medida del deporte practicado y de los distritos donde participen los niños, mostrándose así diferencias respecto al comportamiento de los padres tanto en los entrenamientos, competición, implicación… según donde pertenezcan.Abstract: This article comes from the interest in learning about the behaviour of parents in the sport of her child in the Municipal Sports Academies in Sevilla. The aim of the study is to know how much parents are able to get involved in sport practiced by their children, which behaviours they adopt and which points of view have sport technicians and children themselves of that involvement, analyzing whether all this is done as educational or not. The study consists of a sample of parents, children and technicians from different Municipal Sports Academies in Sevilla, to which were passed out a questionnaire related to the behaviour and attitudes of parents in their children’s sports, both at the level of training and level of competitions in which their children are involved. The results show that participation is largely dependent on the practiced sport and on the districts where the children involved. There are differences regarding the behaviour of both parents in training, competition, involvement ... according to where they belong.


AI Magazine ◽  
2016 ◽  
Vol 37 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Sam S. Adams ◽  
Guruduth Banavar ◽  
Murray Campbell

While the Turing test is a well-known method for evaluating machine intelligence, it has a number of drawbacks that make it problematic as a rigorous and practical test for assessing progress in general-purpose AI. For example, the Turing test is deception based, subjectively evaluated, and narrowly focused on language use. We suggest that a test would benefit from including the following requirements: focus on rational behavior, test several dimensions of intelligence, automate as much as possible, score as objectively as possible, and allow incremental progress to be measured. In this article we propose a methodology for designing a test that consists of a series of events, analogous to the Olympic Decathlon, which complies with these requirements. The approach, which we call the I-athlon, is intended to ultimately enable the community to evaluate progress towards machine intelligence in a practical and repeatable way.


Author(s):  
Linda Johansson

It is often argued that a robot cannot be held morally responsible for its actions. The author suggests that one should use the same criteria for robots as for humans, regarding the ascription of moral responsibility. When deciding whether humans are moral agents one should look at their behaviour and listen to the reasons they give for their judgments in order to determine that they understood the situation properly. The author suggests that this should be done for robots as well. In this regard, if a robot passes a moral version of the Turing Test—a Moral Turing Test (MTT) we should hold the robot morally responsible for its actions. This is supported by the impossibility of deciding who actually has (semantic or only syntactic) understanding of a moral situation, and by two examples: the transferring of a human mind into a computer, and aliens who actually are robots.


2017 ◽  
Author(s):  
Jean E. Tardy

"The Creation of a Conscious Machine" surveys the millennial quest to create an intelligent artefact, concludes consciousness is the key to achieve this goal and proposes we adopt an understanding of synthetic consciousness that is suitable for machine implementation. The text describes how achieving Artificial Intelligence will yield extraordinary intellectual benefits and deep insights into the human condition. It examines past attempts, from ancient times until today, to define intelligence and implement it, drawing useful lessons from each. In particular, the Turing Test, the most influential measure of artificial intelligence, is the subject of an in depth analysis. Ultimately, the author also rejects the Turing Test, and the concept of a test itself, as an unsuitable measure of machine intelligence. Basing himself on this analysis, the author concludes that humans will only consider a machine to be truly intelligent if they also perceive it to be conscious. To realize the quest of Artificial Intelligence, it is necessary to implement consciousness. In turn, to achieve Synthetic Consciousness, we must discard the view that consciousness is a subjective experience in favour of a different understanding, deeply rooted in the Western tradition, that it is an externally observable capability. Using this "new" understanding, the author then proposes a definition of Synthetic Consciousness, expressed as specification objectives, that is suitable for software implementation. This makes it possible to build the first generation of synthetic conscious beings.


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