scholarly journals Media jak z Matrixa. Niewidoczne maszyny w komunikacji społecznej w ujęciu teorii systemów

2021 ◽  
Vol 13 ◽  
pp. 13-33
Author(s):  
Dorota Płuchowska
Keyword(s):  
Artificial Intelligence ◽  
Systems Theory ◽  
Social Communication ◽  
Technical Communication ◽  
Sociological Theory ◽  
Social Systems ◽  
Effective Form ◽  
The Matrix ◽  
Reflective Development ◽  
Self Learning

With reference to the assumptions of the sociological theory of communication of social systems, its understanding of society and its media, the article deals with the issue of how the change of social communication dictated by the digitalization of media changes society. Society accepts the presence of digitization but looks for fields to criticize the non-reflective development of its routine. An example is the movie The Matrix, to which the analysis relates. The examples show what the technology of technical communication and self-learning (artificial intelligence) is already able to do today. The article summar-izes that the introduction of media 4.0 to communication — with their example of invisible machines — is consent to their “participation” (in an automated but effective form) in the creation of society. This influences the autopoietic notion of society developed by systems theory.

scholarly journals Distributed artificial intelligence, diversity and information literacy

2010 ◽  
Vol 3 (1) ◽  
Author(s):  
Peter Kåhre
Keyword(s):  
Artificial Intelligence ◽  
Systems Theory ◽  
Information Literacy ◽  
Social System ◽  
Social Systems ◽  
Global Dimension ◽  
The Internet ◽  
Strong Artificial Intelligence ◽  
The Social ◽  
Symbolic Ai

My proposal is based on my doctoral dissertation On the Shoulders of AI-technology : Sociology of Knowledge and Strong Artificial Intelligence which I succesfully defended on May 29th 2009. E-published http://www.lu.se/o.o.i.s?id=12588&postid=1389611 The dissertation is concerned with Sociology’s stance in the debate on Strong Artificial Intelligence,.i.e. AI-systems that is able to shape knowledge on their own. There is a need for sociologists to realize the difference between two approaches to constructing AI systems: Symbolic AI (or Classic AI) and Connectionistic AI in a distributed model – DAI. Sociological literature shows a largely critical attitude towards Symbolic AI, an attitude that is justified. The main theme of the dissertation is that DAI is not only compatible with Sociology’s approach to what is social, but also constitutes an apt model of how a social system functions. This is consolidated with help from german sociologist Niklas Luhmann’s social systems theory. A lot of sociologists criticize AI because they think that diversity is important and can only be comprehended in informal circumstances that only humans interacting together can handle. They mean that social intelligence is needed to make something out of diversity and informalism. Luhmann´s systems theory gives the opposite perspective. It tells us that it is social systems that communicate and produce new knowledge structures out of contincency. Psychological systems, i.e. humans, can only think within the circumstances the social system offer. In that way human thoughts are bound by formalism. Diversity is constructed when the social systems interact with complexity in their environments. They reduce the complexity and try to present it as meaningful diversity. Today when most of academic literature is electronically stored and is accessible through the Internet from al over the world, DAI can help social systems to observe and reduce complexity in this global dimension. It is pointed out that human consciousness is limited in handling this global dimension. Therefore is it reasonable to argue that DAI in at least this dimension has a stronger intelligence than humans have. I will argue that Luhmann´s social theory and DAI give a god model to analyze the conditions for diversity in the Internet society. Further, the discussion about strong AI gives a lot of opportunities to discuss what sort of information literacy is needed and it also gives some perspective to discuss the concept of IL I have observed that the concept has evolved from something that coined some formal capacities, to something that has to do with a capacity to observe informal relations. That discussion can easily be compared to a parallel discussion within the debate about strong AI.

scholarly journals Artificial Communication? The Production of Contingency by Algorithms

2017 ◽  
Vol 46 (4) ◽  
pp. 249-265 ◽  
Author(s):  
Elena Esposito
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Social Systems ◽  
Learning Algorithms ◽  
Artificial Reproduction ◽  
Process Information ◽  
Social Agents ◽  
Recent Developments ◽  
Self Learning

AbstractDiscourse about smart algorithms and digital social agents still refers primarily to the construction of artificial intelligence that reproduces the faculties of individuals. Recent developments, however, show that algorithms are more efficient when they abandon this goal and try instead to reproduce the ability to communicate. Algorithms that do not “think” like people can affect the ability to obtain and process information in society. Referring to the concept of communication in Niklas Luhmann’s theory of social systems, this paper critically reconstructs the debate on the computational turn of big data as the artificial reproduction not of intelligence but of communication. Self-learning algorithms parasitically take advantage – be it consciously or unaware – of the contribution of web users to a “virtual double contingency.” This provides society with information that is not part of the thoughts of anyone, but, nevertheless, enters the communication circuit and raises its complexity. The concept of communication should be reconsidered to take account of these developments, including (or not) the possibility of communicating with algorithms.

Managing uncertainty in healthcare interpreter-mediated interaction

2020 ◽  
Vol 15 (2) ◽  
pp. 150-164
Author(s):  
Claudio Baraldi ◽  
Laura Gavioli
Keyword(s):  
Systems Theory ◽  
Conversation Analysis ◽  
Social Systems ◽  
Analytical Framework ◽  
Social Systems Theory ◽  
Intercultural Mediators ◽  
Or History

This paper analyses healthcare interactions involving doctors, migrant patients and ‘intercultural mediators’ who provide interpreting services. Our study is based on a collection of 300 interactions involving two language pairs, Arabic–Italian and English–Italian. The analytical framework includes conversation analysis combined with insights from social systems theory. We look at question-answer sequences, where (1) the doctors ask questions about patients’ problems or history, (2) the doctors’ questions are responded to and (3) the doctor closes the sequence, moving on to another question. We analyse the ways in which mediators help doctors design questions for patients and patients understand and eventually respond to the doctors’ design. While the doctor’s question design aims at obtaining details which are relevant for the patients’ care, it is argued that collecting such details involves complex interactional work. In particular, doctors need help in displaying their attention to their patients’ problems and in guiding patients’ responses into medically relevant directions. Likewise, patients need help in reacting appropriately. Mediators help manage communicative uncertainty both by showing the doctor’s interest in what the patient says, and by exploring and rendering the patient’s incomplete, extended and ambiguous answers to the doctor’s questions.

A Group Awaiting Death: The Social Systems Perspective on a Naturally Occurring Group Situation

1983 ◽  
Vol 13 (1) ◽  
pp. 79-89 ◽  
Author(s):  
Steven Starker ◽  
Joan E. Starker
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Systems Theory ◽  
Social Systems ◽  
Task Structure ◽  
Systems Perspective ◽  
Naturally Occurring ◽  
The Social ◽  
Group Situation ◽  
Imminent Death

The decline and imminent death of an individual in a hospital's intensive care unit led to the creation of a transient group composed of family and friends. The dynamics of this tragic group are explored using the concepts provided by Social Systems theory. Ambiguity of the task structure and its inherent frustrations, fluidity of leadership and power, and failure of a utopian defense are all discussed as contributors to subsequent dissension and splitting. The social systems perspective provides a useful tool for understanding this naturally occurring group situation.

scholarly journals The Meaning of the Matrix: Towards a Cybernetic Critical Theory of Capitalism

2018 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Shay Hershkovitz
Keyword(s):  
Social Systems ◽  
Theoretical Concept ◽  
Social Actors ◽  
System A ◽  
The Social ◽  
Social Entity ◽  
Key Concepts ◽  
The Matrix ◽  
Critical Approaches ◽  
Operational Logic

Marxist criticism is most discernible; despite the oft-repeated claim that it is now irrelevant, belonging to an age now past. This essay assumes that criticism originating in the Marxist school of thought continue to be relevant also in this present time; though it may need to be further developed and improved by integrating newer critical approaches into the classic Marxist discourse. This essay therefore integrates basic Marxist ideas with key concepts from ‘social systems theory’; especially the theory of the German sociologist Niklas Luhmann's. In this light, capitalism is conceptualized here as a ‘super (social) system’: a meaning-creating social entity, in which social actors, behaviors and structures are realized. This theoretical concept and terminology emphasizes the social construction of control and stability, when discussing the operational logic of capitalism.

scholarly journals Artificial Intelligence in Biomedicine: A Legal Insight

BioTech ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 15
Author(s):  
Takis Vidalis
Keyword(s):  
Artificial Intelligence ◽  
Personal Data ◽  
Health Data ◽  
The Self ◽  
Data Handling ◽  
Direct Control ◽  
Eu Legislation ◽  
Attending Physicians ◽  
Self Learning ◽  
The Eu

The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of AI algorithms presupposes extensive processing of big data in biobanks, for which procedures of compliance with data protection need to be ensured. This article addresses this problem in the framework of the EU legislation (GDPR) and explains the legal prerequisites pertinent to various categories of health data. Furthermore, the self-learning systems of AI may affect the fulfillment of medical duties, particularly if the attending physicians rely on unsupervised applications operating beyond their direct control. The article argues that the patient informed consent prerequisite plays a key role here, not only in conventional medical acts but also in clinical research procedures.

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

Determinants of family meetings in private family businesses

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akif Cicek ◽  
Rüveyda Kelleci ◽  
Pieter Vandekerkhof
Keyword(s):  
Systems Theory ◽  
Family Firms ◽  
Social Systems ◽  
Governance Mechanisms ◽  
Social Systems Theory ◽  
Content Type ◽  
Family Governance ◽  
Family Meetings ◽  
The Social ◽  
The Family

PurposeFamily governance mechanisms serve to govern and strengthen relations between the family and the business, as well as the relationships between the members of the business family itself. However, despite agreement on the importance of adopting family governance structures, explicit research on the determinants of family governance mechanisms is currently missing. Therefore, the purpose of this study is to uncover the determinants of family meetings. In order to do so, the social systems theory is used to unravel several determining factors of this crucial form of family governance mechanisms in private family firms.Design/methodology/approachThe authors perform a qualitative study by conducting semi-structured interviews in eight Belgian private family firms in order to discover the antecedents of the implementation of family meetings. The authors use a pattern-matching technique as an analytical strategy.FindingsThe findings of the study highlight the importance of “soft,” relational, qualitative issues as antecedents of family meetings as opposed to previous research on family governance, which predominantly focused on “hard,” quantitative measures (e.g. family ownership). The findings of the study also provide novel insights into the origins of the family component (i.e. family meetings) of family business governance.Originality/valueWhile the current literature has only focused on describing the different types of family governance and their positive consequences for the family firm, the authors take a step back to explain why family meetings, as a form of family governance, are adopted in the first place. Second, the authors demonstrate the instrumentality of the social systems theory in understanding the family's needs that necessitate the implementation of family governance mechanisms.

Artificial intelligence: criminal and procedural aspects

2021 ◽  
pp. 75-89
Author(s):  
Igor I. Kartashov ◽  
Ivan I. Kartashov
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Human Beings ◽  
Criminal Proceedings ◽  
Legal Advice ◽  
Judicial Practice ◽  
Legal Expert ◽  
To Come ◽  
Definition Of ◽  
Self Learning

For millennia, mankind has dreamed of creating an artificial creature capable of thinking and acting “like human beings”. These dreams are gradually starting to come true. The trends in the development of modern so-ciety, taking into account the increasing level of its informatization, require the use of new technologies for information processing and assistance in de-cision-making. Expanding the boundaries of the use of artificial intelligence requires not only the establishment of ethical restrictions, but also gives rise to the need to promptly resolve legal problems, including criminal and proce-dural ones. This is primarily due to the emergence and spread of legal expert systems that predict the decision on a particular case, based on a variety of parameters. Based on a comprehensive study, we formulate a definition of artificial intelligence suitable for use in law. It is proposed to understand artificial intelligence as systems capable of interpreting the received data, making optimal decisions on their basis using self-learning (adaptation). The main directions of using artificial intelligence in criminal proceedings are: search and generalization of judicial practice; legal advice; preparation of formalized documents or statistical reports; forecasting court decisions; predictive jurisprudence. Despite the promise of using artificial intelligence, there are a number of problems associated with a low level of reliability in predicting rare events, self-excitation of the system, opacity of the algorithms and architecture used, etc.

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