One of the most common misunderstandings in dealing with the world is the notion that you can do it piece-meal, that in understanding and shaping one part you can safely ignore the rest. One of the oldest wisdoms is the insight that in reality everything is knitted together, that to meddle with one part is always to meddle with the whole. AI as a social phenomenon is a good example for both findings. In trying to understand this new event in (...) the light of old counsel we get a better understanding not only of AI but of our society as well. (shrink)

Different people have different perceptions about artificial intelligence (AI). It is extremely important to bring together all the alternative frames of thinking—from the various communities of developers, researchers, business leaders, policymakers, and citizens—to properly start acknowledging AI. This article highlights the ‘fruitful collaboration’ that sociology and AI could develop in both social and technical terms. We discuss how biases and unfairness are among the major challenges to be addressed in such a sociotechnical perspective. First, as intelligent machines reveal their nature (...) of ‘magnifying glasses’ in the automation of existing inequalities, we show how the AI technical community is calling for transparency and explainability, accountability and contestability. Not to be considered as panaceas, they all contribute to ensuring human control in novel practices that include requirement, design and development methodologies for a fairer AI. Second, we elaborate on the mounting attention for technological narratives as technology is recognized as a social practice within a specific institutional context. Not only do narratives reflect organizing visions for society, but they also are a tangible sign of the traditional lines of social, economic, and political inequalities. We conclude with a call for a diverse approach within the AI community and a richer knowledge about narratives as they help in better addressing future technical developments, public debate, and policy. AI practice is interdisciplinary by nature and it will benefit from a socio-technical perspective. (shrink)

Geraldas Prince’as remiasi tokiu naratyvo apibrėžimu: objektas yra naratyvas, jei jis yra logiškai nuosekli bent dviejų asinchroninių įvykių, kurie nesuponuoja arba nenumano vienas kito, reprezentacija. Atkreipdamas dėmesį į svarbius klausimus apie naratyvo pobūdį, jo formą ir funkcionavimą, Prince’as pastebi, jog reikia mėginti aiškintis ir kokia yra mūsų suvokimą veikianti santykių sistema, galinti paaiškinti naratyvo semiozės pobūdį ir jos bruožus, naratyvų ir atskirų naratyvinių momentų reikšmę bei prasmingumą. Kalbėdamas apie naratologijos ateitį ir aptardamas įvairias jos šiuolaikines atmainas, jis iškelia keletą uždavinių (...) būsimiems naratologams. Pirmasis jų yra, pasitelkus naujus įrankius, įtraukiant naują tyrimų medžiagą ir naujausias pasakojimo moduliacijas, mėginti atpažinti arba ištirti kuo įvairesnius naratyvo aspektus, juos apibrėžiant, aprašant ir užbėgant už akių galimiems nenuoseklumams teorijoje. Antrasis uždavinys įpareigoja imtis naratyvo tyrimų ir naratologijos empirinių pagrindų. Prince’o nuomone, pats svarbiausias, trečiasis, naratologijos uždavinys yra aiškaus, išsamaus ir realistinio naratyvinės kompetencijos modelio plėtra. (shrink)

This paper considers the impact of the AI R&D programme on human society and the individual human being on the assumption that a full realisation of the engineering objective of AI, namely, construction of human-level, domain-independent intelligent entities, is possible. Our assumption is essentially identical tothe maximum progress scenario of the Office of Technology Assessment, US Congress.Specifically, the first section introduces some of the significant issues on the relational nexus among work, education and the human-machine boundary. In particular, based on (...) a Russellian conception of rationality I briefly argue that we need to change our related conceptions of work, employment and free time, through a new human-centred education. On the human-machine boundary problem, I make a couple of tentative suggestions and put forward some crucial open questions.Section two discusses the impact of the emerging machine intelligence on human nature both as modification of its self-image, keeping human nature itself unchanged, and its potential for altering human nature itself. I briefly argue that: (i) in a certain context, the question of the supremacy or uniqueness of human intelligence loses much, if not all, of its ‘weight’; and (ii) appearance of Robot-X species would immortalise the human spirit. (shrink)

The development of computers as ‘mind tools’ has generated intriguing and provocative views about their potential human-like qualities. In this paper an attempt is made to explore the ‘real’ nature of computers by an examination of three widely different perspective, (1) the common-sense view of computers as tools; (2) the provocative view of computers as persons; and (3) the challenging view of computers as texts. In the course of the discussion an extended critique of the use of anthropomorphic terms in (...) relation to machines is conducted and the fundamental differences between human persons and machines is reasserted. (shrink)

Steady technological and economic progress gives science and the scientific method a distinguished position in today's culture. Therefore, there may be an impression that areas not belonging to science may hamper this progress of humanity. The views of Dean E. Wooldridge exemplify this position. The only hope is seen in the rational dimension of man in which there is no room for ethical considerations. This rational dimension is also the sole representation of man in the image created by artificial intelligence. (...) Before, AI was at least interested in philosophical issues concerning a model of man, now, AI has no interest in them; it has become an applied science trying to produce workable systems for military and industrial application. However, the model of rational man remained, and because of the prestige of computer science, the model is the most widely recognized as an official model of our epoch.There are three possible ways of improving the situation with regard to the moral dimension of man: saturating knowledge bases with moral values, carefully choosing the sponsor of each project, and saturating education with ethics by making it a part of each major on the undergraduate, and, in particular, the graduate levels. (shrink)

Situational aspects of action are discussed. The presented approach emphasizes the role of situational contexts in which actions are performed. These contexts influence the course of an action; they are determined not only by the current state of the system but also shaped by other factors as time, the previously undertaken actions and their succession, the agents of actions and so on. The distinction between states and situations is explored from the perspective of action systems. The notion of a situational (...) action system is introduced and its theory is expounded. Numerous examples illustrate the reach of the theory. (shrink)

We can readily identify goal-directed systems and distinguish them from non-goal-directed systems. A woodpecker hunting for grubs is the first, a pendulum returning to rest is the second. But what is it to be a goal-directed system? Perhaps the dominant answer to this question, inspired by systems theories such as cybernetics, is that goal-directed systems are distinguished by their tendency to seek, aim at, or maintain some more-or-less easily identifiable goal. Cybernetics and the like would hold that physical systems subject (...) only to physical laws can exhibit such behavior. If sound, this systems approach to teleology would unify a diverse range of goal-directed phenomena and neatly side-step many traditional bogey-men of teleology, such as anthropomorphism and future causation. Goal-directed phenomena would be a normal feature of the natural causal world that could be described in purely descriptive and quantitative terms, and receive ordinary causal explanations. Thus, the systems approach promises to provide a naturalistic-cum-descriptive account of teleology suitable for use in naturalistic accounts of other phenomena, including the intentionality of mental states and even self-consciousness. (shrink)