Hey Siri, tell me a story: Digital storytelling and AI authorship

2020 ◽  
Vol 26 (4) ◽  
pp. 808-823
Author(s):  
Sarah Thorne
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
News Media ◽  
Future Directions ◽  
Daily Lives ◽  
Short Films ◽  
The Future ◽  
Commercial Applications ◽  
New Applications ◽  
Applications Of Ai

Surveying narrative applications of artificial intelligence in film, games and interactive fiction, this article imagines the future of artificial intelligence (AI) authorship and explores trends that seek to replace human authors with algorithmically generated narrative. While experimental works that draw on text generation and natural language processing have a rich history, this article focuses on commercial applications of AI narrative and looks to future applications of this technology. Video games have incorporated AI and procedural generation for many years, but more recently, new applications of this technology have emerged in other media. Director Oscar Sharp and artist Ross Goodwin, for example, generated significant media buzz about two short films that they produced which were written by their AI screenwriter. It’s No Game (2017), in particular, offers an apt commentary on the possibility of replacing striking screenwriters with AI authors. Increasingly, AI agents and virtual assistants like Siri, Cortana, Alexa and Google Assistant are incorporated into our daily lives. As concerns about their eavesdropping circulate in news media, it is clear that these companions are learning a lot about us, which raises concerns about how our data might be employed in the future. This article explores current applications of AI for storytelling and future directions of this technology to offer insight into issues that have and will continue to arise as AI storytelling advances.

scholarly journals Use of Artificial Intelligence in Nononcologic Interventional Radiology: Current State and Future Directions

2021 ◽  
Author(s):  
Rohil Malpani ◽  
Christopher W. Petty ◽  
Neha Bhatt ◽  
Lawrence H. Staib ◽  
Julius Chapiro
Keyword(s):  
Artificial Intelligence ◽  
Clinical Practice ◽  
Language Processing ◽  
Vascular Imaging ◽  
Future Directions ◽  
Current State ◽  
The Future ◽  
Procedural Planning ◽  
Applications Of Ai

AbstractThe future of radiology is disproportionately linked to the applications of artificial intelligence (AI). Recent exponential advancements in AI are already beginning to augment the clinical practice of radiology. Driven by a paucity of review articles in the area, this article aims to discuss applications of AI in nononcologic IR across procedural planning, execution, and follow-up along with a discussion on the future directions of the field. Applications in vascular imaging, radiomics, touchless software interactions, robotics, natural language processing, postprocedural outcome prediction, device navigation, and image acquisition are included. Familiarity with AI study analysis will help open the current “black box” of AI research and help bridge the gap between the research laboratory and clinical practice.

scholarly journals Radiology Community Attitude in Saudi Arabia about the Applications of Artificial Intelligence in Radiology

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 834
Author(s):  
Magbool Alelyani ◽  
Sultan Alamri ◽  
Mohammed S. Alqahtani ◽  
Alamin Musa ◽  
Hajar Almater ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Vital Role ◽  
Human Machine Interaction ◽  
The Future ◽  
Level Of Knowledge ◽  
Electronic Questionnaires ◽  
Machine Interaction ◽  
Applications Of Ai

Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.

scholarly journals Trusted Partners: Human-Machine Teaming and the Future of Military AI

2021 ◽  
Author(s):  
Margarita Konaev ◽  
Tina Huang ◽  
Husanjot Chahal
Keyword(s):  
Artificial Intelligence ◽  
Future Directions ◽  
The Future ◽  
The U.S

As the U.S. military integrates artificial intelligence into its systems and missions, there are outstanding questions about the role of trust in human-machine teams. This report examines the drivers and effects of such trust, assesses the risks from too much or too little trust in intelligent technologies, reviews efforts to build trustworthy AI systems, and offers future directions for research on trust relevant to the U.S. military.

Artificial Intelligence in Human Resource Practices With Challenges and Future Directions

2022 ◽  
pp. 222-230
Author(s):  
Himani Saini ◽  
Preeti Tarkar
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Science And Technology ◽  
Future Directions ◽  
Smart System ◽  
Advanced Technologies ◽  
The Future

Artificial intelligence is a branch of science and technology that has been used effectively over the decades in various fields, and now it has become an indispensable part of organizational practices as it is one of the leading technologies in the current era, and now there is an emerging trend of applying AI technologies within the businesses. The central necessity of human resource management is also majorly based on technological approaches as it became a potential need for any human resources department to perform its role in the development of the whole organization. Technologies based on AI are and will be the smart system of the future and it's also changing the processes of human resource management by making it more dependent on advanced technologies. Through the chapter, the researcher will get to know the artificial technologies being practiced in HR practices and explore the probable and potential of technicality of AI in HRM and also the challenges associated with AI in HRM and its future possibilities.

scholarly journals Artificial Intelligence on Future Aspects

2021 ◽  
Vol 58 (2) ◽  
pp. 401-414
Author(s):  
Dr. Indradeep Verma Et al.
Keyword(s):  
Artificial Intelligence ◽  
Business Models ◽  
Weather Forecasting ◽  
Field Research ◽  
Research Field ◽  
Second Phase ◽  
The Future ◽  
Fast Pace ◽  
Present Event ◽  
Applications Of Ai

As Artificial Intelligence(AI) is emerging in this century,it can be seen as it is going to take most of the humans’ tasks soon.Artificial Intelligence is widely used in all the fields whether it is medical field,research field,automatic vehicle system,Business models of market,weather forecasting and much more.If the future prospects of AI to be highlighted, then the main focus are on how AI will impact on lifestyle of people and how will our society and industries going to change.In this research paper,the AI growth and its applications will be highlighted in three phases.In the first phase the past events of AI and its growth is discussed,the second phase covers the present event and applications of AI and in the last phase,the future(after 10 years) aspects and its applications will be highlighted.As the world is growing in the fast pace and the information technology field is shaping every context of market and research.

scholarly journals Artificial Intelligence for Microscopy: What You Should Know

2019 ◽  
Author(s):  
Lucas von Chamier ◽  
Romain F. Laine ◽  
Ricardo Henriques
Keyword(s):  
Artificial Intelligence ◽  
Image Segmentation ◽  
Deep Learning ◽  
Information Content ◽  
Biomedical Research ◽  
Cell Biology ◽  
Future Directions ◽  
New Horizons ◽  
The Future ◽  
Recent Developments

Artificial Intelligence based on Deep Learning is opening new horizons in Biomedical research and promises to revolutionize the Microscopy field. Slowly, it now transitions from the hands of experts in Computer Sciences to researchers in Cell Biology. Here, we introduce recent developments in Deep Learning applied to Microscopy, in a manner accessible to non-experts. We overview its concepts, capabilities and limitations, presenting applications in image segmentation, classification and restoration. We discuss how Deep Learning shows an outstanding potential to push the limits of Microscopy, enhancing resolution, signal and information content in acquired data. Its pitfalls are carefully discussed, as well as the future directions expected in this field.

scholarly journals Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

2020 ◽  
Author(s):  
Thanh Thi Nguyen
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Medical Image ◽  
Current Status ◽  
Future Research ◽  
Research Directions ◽  
Daily Lives ◽  
Related Data ◽  
Future Research Directions ◽  
The Internet Of Things

Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous successful stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which has been happening around the globe. This paper presents a survey of AI methods being used in various applications in the fight against the COVID-19 outbreak and outlines the crucial roles of AI research in this unprecedented battle. We touch on a number of areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing, the Internet of Things, to computational biology and medicine. A summary of COVID-19 related data sources that are available for research purposes is also presented. Research directions on exploring the potentials of AI and enhancing its capabilities and power in the battle are thoroughly discussed. We highlight 13 groups of problems related to the COVID-19 pandemic and point out promising AI methods and tools that can be used to solve those problems. It is envisaged that this study will provide AI researchers and the wider community an overview of the current status of AI applications and motivate researchers in harnessing AI potentials in the fight against COVID-19.

scholarly journals EXPLORING THE POTENTIALS OF ARTIFICIAL INTELLGIENCE IN THE JUDICIARY

2020 ◽  
Vol 5 (8) ◽  
Author(s):  
Oloruntoba Samson Abiodun ◽  
Akinode John Lekan
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Deep Neural Networks ◽  
Legal Service ◽  
Business Analytics ◽  
Ethical Challenges ◽  
Related Case ◽  
Legal Professionals ◽  
And Robotics ◽  
Applications Of Ai

In recent years, there has been massive progress in Artificial Intelligence (AI) with the development of machine learning, deep neural networks, natural language processing, computer vision and robotics. These techniques are now actively being applied in the judiciary with many of the legal service activities currently being delivered by lawyers predicted to be taken over by AI in the coming years. This paper explores the potentials and efficiency of Artificial intelligence (AI) in justice delivery. The paper has two objectives: first to highlight the main applications of AI in justice administrations through some examples of AI tools recently developed; second, to assess the ethical challenges of AI in the judiciary. Artificial Intelligence algorithms are starting to support lawyers, for instance, through artificial intelligence search tools, or to support justice administrations with predictive technologies and business analytics based on the computation of Big Data. Using the concept of Artificial Intelligence (AI), Legal knowledgebased tools may accelerate the service delivery of legal professionals from typical searching of related case journals to extraction of precise information in a customized manner.

scholarly journals Artificial Intelligence in News Media: Current Perceptions and Future Outlook

2021 ◽  
Author(s):  
Mathias-Felipe de-Lima-Santos ◽  
Wilson Ceron
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Vision ◽  
Science Fiction ◽  
Language Processing ◽  
News Media ◽  
Future Research ◽  
Production And Distribution ◽  
News Industry ◽  
Journalistic Field

In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, as well as planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We make conclusions by providing examples of how these subfields are being developed in journalism and present an agenda for future research.

scholarly journals Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing

2020 ◽  
Vol 12 (19) ◽  
pp. 7848 ◽  
Author(s):  
Israel Griol-Barres ◽  
Sergio Milla ◽  
Antonio Cebrián ◽  
Huaan Fan ◽  
Jose Millet
Keyword(s):  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Weak Signals ◽  
Remote Sensors ◽  
The Future ◽  
Increasing Demand ◽  
New Applications ◽  
Start Ups

Organizations, companies and start-ups need to cope with constant changes on the market which are difficult to predict. Therefore, the development of new systems to detect significant future changes is vital to make correct decisions in an organization and to discover new opportunities. A system based on business intelligence techniques is proposed to detect weak signals, that are related to future transcendental changes. While most known solutions are based on the use of structured data, the proposed system quantitatively detects these signals using heterogeneous and unstructured information from scientific, journalistic and social sources, applying text mining to analyze the documents and natural language processing to extract accurate results. The main contributions are that the system has been designed for any field, using different input datasets of documents, and with an automatic classification of categories for the detected keywords. In this research paper, results from the future of remote sensors are presented. Remote sensing services are providing new applications in observation and analysis of information remotely. This market is projected to witness a significant growth due to the increasing demand for services in commercial and defense industries. The system has obtained promising results, evaluated with two different methodologies, to help experts in the decision-making process and to discover new trends and opportunities.

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