scholarly journals AI to Bypass Creativity. Will Robots Replace Journalists? (The Answer Is “Yes”)

Information ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 183 ◽  
Author(s):  
Andrey Miroshnichenko
Keyword(s):  
Artificial Intelligence ◽  
News Media ◽  
Turing Test ◽  
Practical Application ◽  
News Stories ◽  
Current State ◽  
Human Practice ◽  
News Writing ◽  
Further Development

This paper explores a practical application of a weak, or narrow, artificial intelligence (AI) in the news media. Journalism is a creative human practice. This, according to widespread opinion, makes it harder for robots to replicate. However, writing algorithms are already widely used in the news media to produce articles and thereby replace human journalists. In 2016, Wordsmith, one of the two most powerful news-writing algorithms, wrote and published 1.5 billion news stories. This number is comparable to or may even exceed work written and published by human journalists. Robo-journalists’ skills and competencies are constantly growing. Research has shown that readers sometimes cannot differentiate between news written by robots or by humans; more importantly, readers often make little of such distinctions. Considering this, these forms of AI can be seen as having already passed a kind of Turing test as applied to journalism. The paper provides a review of the current state of robo-journalism; analyses popular arguments about “robots’ incapability” to prevail over humans in creative practices; and offers a foresight of the possible further development of robo-journalism and its collision with organic forms of journalism.

scholarly journals News Writing for Television and Radio

EDIS ◽  
2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Ricky Telg ◽  
Lisa Lundy
Keyword(s):  
News Media ◽  
Agricultural Education ◽  
News Stories ◽  
Minor Revision ◽  
News Writing

This publication on news writing television and radio is the fourth of a five-part series on news media writing. This series also covers an introduction to news media writing, news writing for print, grammar and punctuation, and interviews for news stories. Minor revision by Ricky Telg and Lisa Lundy. Published by the UF/IFAS Department of Agricultural Education and Communication. 4pp.

scholarly journals Grammar and Punctuation

EDIS ◽  
2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Ricky Telg ◽  
Ashley McLeod-Morin
Keyword(s):  
News Media ◽  
Agricultural Education ◽  
News Stories ◽  
Print News ◽  
The Third ◽  
Minor Revision ◽  
News Writing

This 4-page publication covering proper grammar and punctuation for news media writing is the third of a five-part series on news media writing. This series also covers an introduction to news media writing, news writing for print, news writing for television and radio, and interviews for news stories. Minor revision by Ricky Telg and Ashley McLeod-Morin; published by the UF/IFAS Department of Agricultural Education and Communication.

scholarly journals Artificial Intelligence in Modern Journalism: History, Facts, Prospects for Development

2019 ◽  
Vol 8 (3) ◽  
pp. 555-568
Author(s):  
Olga Chertovskikh ◽  
Matvey Chertovskikh
Keyword(s):  
Artificial Intelligence ◽  
Mass Media ◽  
Technological Development ◽  
Human Society ◽  
Practical Application ◽  
Journalism History ◽  
History Of ◽  
Smart Machines ◽  
Further Development ◽  
Development Prospects

The article focuses on the issue of introduction of AI technology into the modern journalism. The topic proves to be of relevant importance as both mass media and press services reveal their direct dependence on the technological development level of the human society. It means that any new relevant technology can change the whole system. The objective of the article is to research the issue of Artificial Intelligence introduction into the modern journalism. The authors consider the history of the “smart machines” creation. Furthermore, they describe the current situation in the sphere of journalism, bring some specific examples of the existing and the projected systems and highlight the areas of possible practical application and the development prospects. They also obtain information on the main principles of the operation, the algorithms, the goals and the capabilities of the machines. In addition, the authors consider the advantages and the risks of this state-of-the-art technology, analyze the cultural and the psychological aspects of its mass introduction, make predictions concerning the prospects for the further development of this sphere, consider different scenarios of its development and identify the challenges and the advantages for the profession of a journalist. In conclusion, the authors state that despite the fact that AI in journalism is a mass phenomenon, all the projects of the introduction of Artificial Intelligence are not currently posing a direct threat to the profession. However, the fact that the mass media of different countries are starting to actively apply AI in journalism, emphasizes the relevance and the importance of further research in this sphere.

scholarly journals News Writing for Print

EDIS ◽  
2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Ricky Telg ◽  
Lisa Lundy
Keyword(s):  
News Media ◽  
Agricultural Education ◽  
News Stories ◽  
Minor Revision ◽  
News Writing

This publication about news writing for print is the second of a five-part series on news media writing. This series also covers an introduction to news media writing, grammar and punctuation, news writing for television and radio, and interviews for news stories. Minor revision by Ricky Telg and Lisa Lundy. Published by the UF/IFAS Department of Agricultural Education and Communication. 5pp.

scholarly journals State-of-the-Art of Artificial Intelligence

2021 ◽  
Author(s):  
Ramjee Prasad ◽  
Purva Choudhary
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
State Of The Art ◽  
Turing Test ◽  
Rapid Progress ◽  
Current State ◽  
Recent Developments ◽  
Historical Developments ◽  
Insight Into ◽  
Made In

Artificial Intelligence (AI) as a technology has existed for less than a century. In spite of this, it has managed to achieve great strides. The rapid progress made in this field has aroused the curiosity of many technologists around the globe and many companies across various domains are curious to explore its potential. For a field that has achieved so much in such a short duration, it is imperative that people who aim to work in Artificial Intelligence, study its origins, recent developments, and future possibilities of expansion to gain a better insight into the field. This paper encapsulates the notable progress made in Artificial Intelligence starting from its conceptualization to its current state and future possibilities, in various fields. It covers concepts like a Turing machine, Turing test, historical developments in Artificial Intelligence, expert systems, big data, robotics, current developments in Artificial Intelligence across various fields, and future possibilities of exploration.

scholarly journals Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics

2019 ◽  
Vol 62 (7) ◽  
pp. 73-95
Author(s):  
Albert R. Efimov
Keyword(s):  
Artificial Intelligence ◽  
Technological Development ◽  
Turing Test ◽  
Main Question ◽  
Current State ◽  
The Subject ◽  
The One ◽  
Definition Of ◽  
The Impact ◽  
And Robotics

The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic nature of this influence. The author considers various approaches to the definition of artificial intelligence and robotics, focusing on the subject-oriented and functional ones. In the article, AI&R abilities and human abilities are compared in such areas as categorization, pattern recognition, planning and decision making, etc. Based on this comparison, it is concluded in which areas AI&R’s performance is inferior to a human and in which cases it is superior to one. The modern achievements in the field of robotics and artificial intelligence create the necessary basis for further discussion of the applicability of goal setting in engineering, in the form of a Turing test. It is shown that development of AI&R is associated with certain contradictions that impede the application of Turing’s methodology in its usual format. The basic contradictions in the development of AI&R technologies imply that there is to be a transition to a post-Turing methodology for assessing engineering implementations of AI&R. In such implementations, on the one hand, the “Turing wall” is removed, and on the other hand, artificial intelligence gets its physical implementation.

scholarly journals Conducting Interviews for News Stories

EDIS ◽  
2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Ricky Telg ◽  
Lisa Lundy
Keyword(s):  
News Media ◽  
Agricultural Education ◽  
News Stories ◽  
Minor Revision ◽  
News Writing

This publication on interviews for news stories is the fifth of a five-part series on news media writing. This series also covers an introduction to news media writing, news writing for print, grammar and punctuation, and news writing for television and radio. Minor revision by Ricky Telg and Lisa Lundy and published by the UF/IFAS Department of Agricultural Education and Communication. 3pp.

scholarly journals A survey of 25 years of evaluation

2019 ◽  
Vol 25 (06) ◽  
pp. 753-767
Author(s):  
Kenneth Ward Church ◽  
Joel Hestness
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Graduate Student ◽  
State Of The Art ◽  
Reliability And Validity ◽  
Turing Test ◽  
First Principle ◽  
Current State ◽  
Language And Vision ◽  
Better Than

AbstractEvaluation was not a thing when the first author was a graduate student in the late 1970s. There was an Artificial Intelligence (AI) boom then, but that boom was quickly followed by a bust and a long AI Winter. Charles Wayne restarted funding in the mid-1980s by emphasizing evaluation. No other sort of program could have been funded at the time, at least in America. His program was so successful that these days, shared tasks and leaderboards have become common place in speech and language (and Vision and Machine Learning). It is hard to remember that evaluation was a tough sell 25 years ago. That said, we may be a bit too satisfied with current state of the art. This paper will survey considerations from other fields such as reliability and validity from psychology and generalization from systems. There has been a trend for publications to report better and better numbers, but what do these numbers mean? Sometimes the numbers are too good to be true, and sometimes the truth is better than the numbers. It is one thing for an evaluation to fail to find a difference between man and machine, and quite another thing to pass the Turing Test. As Feynman said, “the first principle is that you must not fool yourself–and you are the easiest person to fool.”

scholarly journals News Media Writing

EDIS ◽  
2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Ricky Telg ◽  
Lisa Lundy
Keyword(s):  
News Media ◽  
Agricultural Education ◽  
News Stories ◽  
Minor Revision ◽  
News Writing

This publication covering an introduction to news media writing is the first of a five-part series on news media writing. This series also covers news writing for print, grammar and punctuation, news writing for television and radio, and interviews for news stories. Minor revision by Ricky Telg and Lisa Lundy. Published by the UF/IFAS Department of Agricultural Education and Communication. 2pp.

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