Media Technologies in Communication and Critical Cultural Studies

2018 ◽  
Author(s):  
Ned O'Gorman
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cultural Studies ◽  
Digital Media ◽  
Media Studies ◽  
21St Century ◽  
Social Life ◽  
Media Technologies ◽  
Cultural Processes ◽  
The Relationship

Media technologies are at the heart of media studies in communication and critical cultural studies. They have been studied in too many ways to count and from a wide variety of perspectives. Yet fundamental questions about media technologies—their nature, their scope, their power, and their place within larger social, historical, and cultural processes—are often approached by communication and critical cultural scholars only indirectly. A survey of 20th- and 21st-century approaches to media technologies shows communication and critical cultural scholars working from, for, or against “deterministic” accounts of the relationship between media technologies and social life through “social constructivist” understandings to “networked” accounts where media technologies are seen embedding and embedded within socio-material structures, practices, and processes. Recent work on algorithms, machine learning, artificial intelligence, and platforms, together with their manifestations in the products and services of monopolistic corporations like Facebook and Google, has led to new concerns about the totalizing power of digital media over culture and society.

scholarly journals The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

2019 ◽  
Vol 18 (3) ◽  
pp. 89-99
Author(s):  
Vinh Huy Chau ◽  
Anh Thu Vo ◽  
Ba Tuan Le
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Body Weight ◽  
Root Mean Square Error ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Analysis Model ◽  
Factors Affecting ◽  
Artificial Intelligence Algorithm ◽  
The Relationship

Abstract As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

Communicating Through or Communicating with: Approaching Artificial Intelligence from a Communication and Media Studies Perspective

2020 ◽  
Author(s):  
Simone Natale
Keyword(s):  
Artificial Intelligence ◽  
Media Studies ◽  
Review Article ◽  
Media History ◽  
Computing Technologies ◽  
Machine Communication ◽  
The Relationship ◽  
Human Component ◽  
History And Theory

Abstract This review article examines two recent publications that explore the relationship between Artificial Intelligence (AI) and communication. Discussing Human–Machine Communication (HMC) as an emerging area of inquiry within communication and media studies, two important implications of this body of work are highlighted. First, the "human" component still plays a key role in HMC, since what we call “AI” derives from the technical and material functioning of computing technologies as much as from the contribution of the humans who enter in communication with AI technologies. Second, HMC challenges the very concept of medium, because the machine is at the same time the channel as well as the producer of communication messages. A potential way to solve this challenge is to mobilize existing approaches in media history and theory that expand the concept of medium beyond its conceptualization as mere channel.

Coming to Mind

2013 ◽  
pp. 550-563
Author(s):  
Paul Morris ◽  
Susanna Paasonen
Keyword(s):  
Digital Media ◽  
Media Studies ◽  
Media Technologies ◽  
Production And Consumption ◽  
Sexual Subculture

This article appears in the Oxford Handbook of Sound and Image in Digital Media edited by Carol Vernallis, Amy Herzog, and John Richardson. Pornography aims to capture and mediate some of the intensity and immediacy of sex. This is particularly manifest in the framework of gay bareback pornography that both documents a sexual subculture and caters to a particular porn audience. Structured as a dialogue between a bareback porn producer and a media studies scholar, the essay combines practice-based insights with more conventional scholarly argumentation in a discussion on the modality of pornography, as well as on the transformations that digital media technologies have inflicted in its production and consumption. The chapter addresses the visceral force of pornography while paying particular attention on the centrality of sound in the mediation of intensity.

Technological Materiality And Assumptions About ‘Active’ Human Agency

2015 ◽  
Vol 1 (1) ◽  
pp. 95-110 ◽  
Author(s):  
Grant Bollmer
Keyword(s):  
Cultural Studies ◽  
Digital Media ◽  
Media Studies ◽  
Human Agency ◽  
Media Audiences ◽  
Active Audience ◽  
Real People ◽  
Material Agency ◽  
Methodological Reflection ◽  
Infrastructural Power

Abstract One of the most notable challenges to emerge from the materialist turn in media studies is the rejection of the ‘active audience’ paradigm of British cultural studies. And yet, in spite of the increasing attention to materiality, many of the problems associated with the split between German media studies traditions and those derived from cultural studies persist today. While no longer concerned with representation, privilege is nonetheless often granted to the material agency of ‘real people’ as that which shapes and determines the materiality of technology. This article is primarily a theoretical and methodological reflection on how materiality challenges - but sometimes relies on - long standing and often veiled traditions from cultural studies, especially as they move out of academic discussion and into the popular imaginary of social media and its ‘usergenerated content.’ I focus on some deliberate attempts at excluding materiality found in cultural studies’ history, arguing that an emphasis on the agency of ‘real people’ can only happen through the deliberate erasure of the materiality of technology. Drawing on Ien Ang’s Desperately Seeking the Audience (1991), which argued that television ‘audiences’ must themselves be understood as produced in relation to the demands and interests of broadcasting institutions, I suggest that digital media ‘audiences’ are produced in relationship to the infrastructural power of servers, algorithms, and software. This demonstrates that any attempt to identify ‘human agency’ must also look at how this agency is co-produced with and by technological materiality.

scholarly journals From Digital Humanities to a Renewed Approach to Digital Learning and Teaching

2019 ◽  
pp. 1682-1693 ◽  
Author(s):  
Samuel Nowakowski ◽  
Guillaume Bernard
Keyword(s):  
Artificial Intelligence ◽  
Online Learning ◽  
21St Century ◽  
Digital Humanities ◽  
Full Measure ◽  
Digital Learning ◽  
Learning And Teaching ◽  
Learning Platform ◽  
The World ◽  
The Relationship

In a world in which digital interfaces, dematerialization, automation, so-called tools of artificial intelligence aim to drive away the human or eliminate the relationship with humans! The way other beings see us is important. What would happen if we took the full measure of this idea? How would this affect our understanding of society, culture, and the world we inhabit? How would this affect our understanding of the human, since in this world beyond the human, we sometimes find things that we prefer to attribute only to ourselves? What impacts on education, learning, teaching? After having explored the field opened by these questions, we will bring an answer with a reinvention of the learning platform named KOALA (KnOwledge Aware Learning Assistant). KOALA is a new online learning platform that comes back to internet sources. Symmetrical and acentric, KOALA combines analyzes from the digital humanities and answers to the challenges of education in the 21st century

scholarly journals Pengenalan Sosio Scientific Issue secara Daring terhadap Kemampuan Penalaran Siswa

2021 ◽  
Vol 15 (1) ◽  
pp. 31-36
Author(s):  
Rivanna Citraning Rachmawati ◽  
Erma Diningsih
Keyword(s):  
21St Century ◽  
Social Life ◽  
Social Issues ◽  
Survey Method ◽  
Reasoning Abilities ◽  
Scientific Issue ◽  
Descriptive Survey ◽  
The Relationship ◽  
The City ◽  
Research Stage

SSI is a strategy that aims to stimulate intellectual, moral and ethical development, as well as awareness of the relationship between science and social life. The use of SSI will improve students' reasoning skills to face the challenges of the 21st century. This SSI application uses questions on social issues. This research was conducted in December 2020. This research used a descriptive survey method. The research stage was carried out with a survey related to students 'reasoning abilities in the city of Semarang, then students were given questions about SSI as a form of treatment and observed how the patterns of students' reasoning abilities were related to SSI. The results showed an increase in students' reasoning abilities due to the introduction of SSI questions.

scholarly journals Towards Artificial Intelligence. Sociological Reflections on the Relationship Man - Organization - Device

2019 ◽  
Vol 1 (1) ◽  
pp. 912-920
Author(s):  
Małgorzata Suchacka ◽  
Nicole Horáková
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Knowledge Management ◽  
Learning Process ◽  
Social Dimensions ◽  
Human Organization ◽  
Interdisciplinary Nature ◽  
The Relationship

AbstractThe main goal of the study will be to pay attention to technologization of the learning process and its social dimensions in the context of artificial intelligence. The reflection will mainly cover selected theories of learning and knowledge management in the organization and its broadly understood environment. Considering the sociological dimensions of these phenomena is supposed to lead to the emphasis on the importance of the security of the human-organization-device relationship. Due to the interdisciplinary nature of the issue, the article will include references to the concept of artificial intelligence and machine learning. Difficult questions will arise around the ideas and will become the conclusion of the considerations.

scholarly journals The Teleological Nature of Digital Aesthetics – the New Aesthetic in Advance of Artificial Intelligence

2019 ◽  
pp. 105
Author(s):  
Scott Contreras-Koterbay
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Media Studies ◽  
Technological Development ◽  
Aesthetic Experiences ◽  
Real Possibility ◽  
Digital Aesthetics ◽  
Curatorial Practice ◽  
Digital Objects ◽  
The Aesthetic

If aesthetic and teleological judgments are equally reflective, then it can be argued that such judgments can be applied concurrently to digital objects, specifically those that are products of the rapidly developing sophisticated forms of artificial intelligence (AI). Evidence of the aesthetic effects of technological development are observable in more than just experienceable objects; rooted in inscrutable machine learning, AI’s complexity is a problem when it is presented as an aesthetic authority, particularly when it comes to automated curatorial practice or as a progressively determinative aesthetic force originating in an independent agency that is internally self-consistent.Rooted in theories of the post-digital and the New Aesthetic, this paper examines emerging new forms of art and aesthetic experiences that appear to reveal these capabilities of AI. While the most advanced forms of AI barely qualify for a ‘soft’ description at this point, it appears inevitable that a ‘hard’ form of AI is in the future. Increased forms of technological automation obscure the increasingly real possibility of genuine products of the imagination and the creativity of autonomous digital agencies as independent algorithmic entities, but such obfuscation is likely to fade away under the evolutionary pressures of technological development. It’s impossible to predict the aesthetic products of AI at this stage but, if the development of AI is teleological, then it might be possible to predict some of the foreseeable associated aesthetic problems. Article received: April 10, 2019; Article accepted: July 6, 2019; Published online: October 15, 2019; Original scholarly paperHow to cite this article: Contreras-Koterbay, Scott. "The Teleological Nature of Digital Aesthetics – the New Aesthetic in Advance of Artificial Intelligence." AM Journal of Art and Media Studies 20 (2019): 105-112. doi: 10.25038/am.v0i20.326.

scholarly journals Inverse Problems and Artificial Intelligence

2021 ◽  
pp. 33-43
Author(s):  
С.И. Кабанихин
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
A Priori ◽  
Stability And Convergence ◽  
Computational Algorithms ◽  
Conditional Stability ◽  
A Priori Information ◽  
Sensitivity Data ◽  
Priori Information ◽  
The Relationship

В данной работе приведен анализ взаимосвязей теории обратных и некорректных задач и математических аспектов искусственного интеллекта. Показано, что при анализе вычислительных алгоритмов, которые условно можно отнести к вычислительному искусственному интеллекту (машинное обучение, природоподобные алгоритмы, методы анализа и обработки данных), возможно, а подчас и необходимо, использовать результаты и подходы, развитые в теории и численных методах решения обратных и некорректных задач, такие как регуляризация, условная устойчивость и сходимость, использование априорной информации, идентифицируемость, чувствительность, усвоение данных. This paper analyzes the relationship between the theory of inverse and incorrect problems and the mathematical aspects of artificial intelligence. It is shown that computational algorithms that can be categorized as computational artificial intelligence (machine learning, nature-like algorithms, data analysis and processing) can or should be analyzed with the approaches developed for the theory and numerical methods for solving inverse and incorrect problems. They are regularization, conditional stability and convergence, the use of a priori information, identifiability, sensitivity, data assimilation.

scholarly journals Artificial Intelligence and the Limitations of Information

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 332 ◽  
Author(s):  
Paul Walton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Processing ◽  
General Intelligence ◽  
Selection Pressures ◽  
Artificial General Intelligence ◽  
Relationship Of ◽  
The Relationship ◽  
The Way

Artificial intelligence (AI) and machine learning promise to make major changes to the relationship of people and organizations with technology and information. However, as with any form of information processing, they are subject to the limitations of information linked to the way in which information evolves in information ecosystems. These limitations are caused by the combinatorial challenges associated with information processing, and by the tradeoffs driven by selection pressures. Analysis of the limitations explains some current difficulties with AI and machine learning and identifies the principles required to resolve the limitations when implementing AI and machine learning in organizations. Applying the same type of analysis to artificial general intelligence (AGI) highlights some key theoretical difficulties and gives some indications about the challenges of resolving them.

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