The Digital Divide: Addressing Artificial Intelligence in Communication Education

2020 ◽  
Vol 75 (4) ◽  
pp. 470-482
Author(s):  
Regina Luttrell ◽  
Adrienne Wallace ◽  
Christopher McCollough ◽  
Jiyoung Lee
Keyword(s):  
Artificial Intelligence ◽  
Digital Divide ◽  
Digital Media ◽  
Research Community ◽  
Communication Education ◽  
The Past ◽  
The Media ◽  
Media Research ◽  
Media And Communication ◽  
Exhaustive List

Artificial intelligence (AI) has gained both momentum and importance within society over the past several years. This article provides an opening for further discussion to the broader social and digital media research community and those interested in answering important questions related to these areas by leveraging a focused, productive approach. In supporting future educational endeavors within the communication classroom, and specifically to this topic, we propose five important considerations that will move the conversation forward. The considerations within this article are meant to engage scholars in intellectual conversation and to provide an initial foundation for the direction of communication education. They are not meant to be an exhaustive list, but rather initiate discussions within education and research addressing implications emerging technologies have had on our field and what could be incorporated into the media and communication curriculum to prepare educators and students alike.

scholarly journals Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

2020 ◽  
Vol 10 (18) ◽  
pp. 6553
Author(s):  
Sabrina Azzi ◽  
Stéphane Gagnon ◽  
Alex Ramirez ◽  
Gregory Richards
Keyword(s):  
Artificial Intelligence ◽  
Chronic Care ◽  
Review Paper ◽  
Research Community ◽  
Patient Needs ◽  
Care Needs ◽  
Healthcare Applications ◽  
Medical Specialties ◽  
The Past ◽  
Promising Application

Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter. AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). Indeed, numerous works are published every year in several universities and innovation centers worldwide, but there are concerns about progress in their effective success. There are growing examples of AIA being implemented in healthcare with promising results. This review paper summarizes the past 5 years of healthcare applications of AIA, across different techniques and medical specialties, and discusses the current issues and challenges, related to this revolutionary technology. A total of 24,782 articles were identified. The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around patient needs in various healthcare contexts, especially for chronic care patients, who present the most complex comorbidities and care needs.

scholarly journals In defence of machine learning: Debunking the myths of artificial intelligence

2018 ◽  
Vol 14 (4) ◽  
pp. 734-747 ◽  
Author(s):  
Constance de Saint Laurent
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Recent Progress ◽  
Life Time ◽  
Clear Understanding ◽  
Social Scientists ◽  
Scientific Publications ◽  
The Past ◽  
Potential Benefits ◽  
The Media

There has been much hype, over the past few years, about the recent progress of artificial intelligence (AI), especially through machine learning. If one is to believe many of the headlines that have proliferated in the media, as well as in an increasing number of scientific publications, it would seem that AI is now capable of creating and learning in ways that are starting to resemble what humans can do. And so that we should start to hope – or fear – that the creation of fully cognisant machine might be something we will witness in our life time. However, much of these beliefs are based on deep misconceptions about what AI can do, and how. In this paper, I start with a brief introduction to the principles of AI, machine learning, and neural networks, primarily intended for psychologists and social scientists, who often have much to contribute to the debates surrounding AI but lack a clear understanding of what it can currently do and how it works. I then debunk four common myths associated with AI: 1) it can create, 2) it can learn, 3) it is neutral and objective, and 4) it can solve ethically and/or culturally sensitive problems. In a third and last section, I argue that these misconceptions represent four main dangers: 1) avoiding debate, 2) naturalising our biases, 3) deresponsibilising creators and users, and 4) missing out some of the potential uses of machine learning. I finally conclude on the potential benefits of using machine learning in research, and thus on the need to defend machine learning without romanticising what it can actually do.

scholarly journals Artificial Intelligence along the New Silk Road

2020 ◽  
pp. 240-254
Author(s):  
Lynda Hardman
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
International Collaboration ◽  
Research Community ◽  
Current Situation ◽  
Silk Road ◽  
Diplomatic Relations ◽  
The Past ◽  
The Usa

Chapter 13 gives an impression of the development of the relatively young AI and computer science fields in Europe and China and how the current situation has developed over the past twenty years, where European and Chinese researchers are equal colleagues on an international stage and where diplomatic relations between the USA and China on the international stage have consequences felt directly by European AI researchers in their labs. In what ways are AI researchers in China and Europe competitors with each other, for example in terms of the global shortage of trained AI researchers and practitioners? At the same time, the AI research community collaborates globally, so how can we ensure that the field continues to benefit from open international collaboration?

scholarly journals Introduction: Researching online worlds: challenging media and communication studies

2009 ◽  
Vol 25 (47) ◽  
pp. 6
Author(s):  
Kjetil Sandvik
Keyword(s):  
Digital Media ◽  
Communication Technology ◽  
Asynchronous Communication ◽  
Social Structures ◽  
Communication Studies ◽  
Media Technology ◽  
Spatial Practices ◽  
The World ◽  
The Media ◽  
Media And Communication

Digital media and network communication technology have not changed this setup, but rather have opened the possibility for encountering and experiencing additional types of worlds and performing additional types of spatial practices. Being situated online and being globally networked with the possibility of both synchronous and asynchronous communication, digitally mediated worlds provide possible interactions between users which are radically more independent of time and place than the ones facilitated by older media. From this perspective, the concept of online worlds both challenges and broadens our understanding of how media shape the world and how the media technology creates new social structures.

scholarly journals Linguistic and communication education at Polish lessons during the period of cultural change. Musings on the curriculum

2020 ◽  
Vol 56 (1) ◽  
pp. 19-30
Author(s):  
Jolanta Nocoń
Keyword(s):  
Digital Media ◽  
21St Century ◽  
Cultural Change ◽  
Mother Tongue ◽  
Verbal Aggression ◽  
Modern World ◽  
Communication Education ◽  
Cultural Transformations ◽  
The Media ◽  
Communication Needs

The article discusses the challenges posed in the 21st century in terms of linguistic and communication education in terms of teaching Polish as the mother tongue. The author posited that socialisation cannot replace education, which is why one of the major goals of linguistic education in terms of the mother tongue is to satisfy the linguistic and communication needs of pupils resulting from the cultural transformations happening in the modern world. The new tasks which Polish teachers face include the development of the so-called new communicational competence, which enables communication in a world dominated by the media, including digital media, and to counter the process of lowering the standards of verbal communication, including verbal aggression and language primitivism.

scholarly journals A View from the Inside: The Dawning Of De-Westernization of CEE Media and Communication Research?

2015 ◽  
Vol 3 (4) ◽  
pp. 1-4 ◽  
Author(s):  
Epp Lauk
Keyword(s):  
Critical Mass ◽  
Eastern European ◽  
Communication Research ◽  
The Past ◽  
The Media ◽  
Collapse Of Communism ◽  
East And West ◽  
Media And Communication

The Editorial outlines some characteristics of the development of the Central and Eastern European (CEE) media and communication scholarship during the past 25 years. In the majority of CEE countries, the media and communication research was re-established after the collapse of communism. Since then, a critical mass of active scholars has appeared who form an integral part of the larger European academia. A gradual integration of East and West perspectives in media and communication research is taking place along with moving away from the barely West-centred approach, and utilizing the research done by CEE scholars. Certain ‘de-westernization’ and internationalization of the research in terms of theoretical and methodological frameworks is depicted.

scholarly journals Strong and Weak Forms of Mediatization Theory

2020 ◽  
Vol 35 (s1) ◽  
pp. 111-124 ◽  
Author(s):  
Marko Ampuja ◽  
Juha Koivisto ◽  
Esa Väliverronen
Keyword(s):  
Social Institutions ◽  
Weak Form ◽  
Communication Studies ◽  
Strong Impact ◽  
The Media ◽  
Media Logic ◽  
Media Research ◽  
To Come ◽  
Media And Communication

AbstractDuring recent years, the concept of mediatization has made a strong impact on media and communication studies, and its advocates have attempted to turn it into a refined and central theoretical framework for media research. The present article distinguishes two forms of mediatization theory: a strong form based on the assumption that a ‘media logic’ increasingly determines the actions of different social institutions and groups, and a weak form that questions such a logic, though the latter form emphasizes the key role of the media in social change and singles out mediatization as a central ‘meta-process’ today. Exponents of the weak form have convincingly criticized the notion of media logic. However, the weaker version of mediatization is itself problematic, as its advocates have failed to produce a clear explanatory framework around the concept. We argue that, although the analytical status of mediatization is unclear, fascination with the concept will, in all probability, continue in the years to come, due to the promises of heightened disciplinary coherence and status that this notion has conveyed for media and communication studies.

A Review on the use of Artificial Intelligence Techniques in Brain MRI Analysis

2021 ◽  
Vol 2 (2) ◽  
pp. 1-15
Author(s):  
Shruti Agarwal ◽  
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Engineering ◽  
Brain Mri ◽  
Research Community ◽  
Research Subject ◽  
Engineering Research ◽  
Artificial Intelligence Techniques ◽  
The Past ◽  
History Of ◽  
Medical Domain

Over the past 20 years, the global research going on in Artificial Intelligence in applications in medication is a venue internationally, for medical trade and creating an energetic research community. The Artificial Intelligence in Medicine magazine has posted a massive amount. This paper gives an overview of the history of AI applications in brain MRI analysis to research its effect at the wider studies discipline and perceive de-manding situations for its destiny. Analysis of numerous articles to create a taxonomy of research subject matters and results was done. The article is classed which might be posted between 2000 and 2018 with this taxonomy. Analyzed articles have excessive citations. Efforts are useful in figuring out popular studies works in AI primarily based on mind MRI analysis throughout specific issues. The biomedical prognosis was ruled by way of knowledge engineering research in its first decade, whilst gadget mastering, and records mining prevailed thereafter. Together these two topics have contributed a lot to the latest medical domain.

scholarly journals Overview of Nordic Media Research on Immigration and Ethnic Relations

2008 ◽  
Vol 29 (2) ◽  
pp. 275-293 ◽  
Author(s):  
Karina Horsti
Keyword(s):  
Text Analysis ◽  
Comparative Research ◽  
Recent Literature ◽  
Qualitative Content Analysis ◽  
Ethnic Relations ◽  
Communication Research ◽  
Research Focus ◽  
The Media ◽  
Media Research ◽  
Media And Communication

Abstract Nordic media and communication research had reacted to the ethnically/racially and culturally changing societies since the 1980s, and the multidisciplinary field of migration, ethnic relations and the media has been shaped. This overview draws upon existing body of research, particularly on recent literature since the early 2000s, and aims to sketch out the rough lines of Nordic media research by mapping and comparing developments in this area. In addition, it points out some major outcomes and, finally, suggests future developments. The longest line of research is based on text analysis, mostly quantitative and qualitative content analysis and discourse analysis of majority media’s texts on immigration and ethnic minorities. Later on, the research focus has widened to cover various dimensions of media output as well as production and reception. Although the field is intensively developing, comparative research among the Nordic countries, and between other European countries, is scarce.

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