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.

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 The Future of Yoga Therapy and the Role of Standardization

2007 ◽  
Vol 17 (1) ◽  
pp. 15-18
Author(s):  
Ginger Garner
Keyword(s):  
Chronic Pain ◽  
Physical Therapy ◽  
Therapist Training ◽  
Yoga Therapy ◽  
The Public ◽  
The Future ◽  
Orthopedic Injuries ◽  
Positive Step ◽  
The U.S

Thanks to IAYT, Yoga therapists have a forum where we can find one another, collaborate, research, educate the public, and have a professional association to call home. IAYT's mission is to establish Yoga as a recognized and respected therapy. I fully support and believe in IAYT's mission. I am a practitioner of Yoga therapy, combining physical therapy, Yoga, and Ayurveda to specialize in women's health, chronic pain, and orthopedic injuries, and am the founder and director of a Yoga therapist training program. Having wellfamiliarized myself with the definitions of Yoga therapy from each of the current Yoga therapy programs in the U.S., and having followed the discussions about standards in Yoga therapy on the Integrator Blog (theintegratorblog.com) and in IAYT's publications, I humbly offer what I believe would be a positive step in the future of the recognition of Yoga therapy as a healing therapeutic discipline in the U.S.

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 Critical Race Media Literacy for These Urgent Times

2020 ◽  
Vol 22 (2) ◽  
pp. 5
Author(s):  
Tara J. Yosso
Keyword(s):  
Media Literacy ◽  
Sustained Attention ◽  
Critical Race ◽  
White Supremacist ◽  
Future Directions ◽  
The Future

Tara J. Yosso reflects on the genealogies of her research on visual microaggressions and the future directions for critical race media literacy scholarship. She identifies a need for sustained attention in three areas: (1) intentionality of racial imagery, and recognition of media as pedagogy; (2) the role of history and the continuities of racial scripts applied against different groups; and (3) contestations of the White supremacist project across generations.

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.

Valuing Interdisciplinary Collaborative Research

2017 ◽  
Keyword(s):  
Interdisciplinary Research ◽  
Collaborative Research ◽  
Research Council ◽  
Future Directions ◽  
Research Paradigms ◽  
Arts And Humanities ◽  
The Future ◽  
Community Evaluation ◽  
The Uk

This book articulates what it is to do collaborative interdisciplinary research drawing on projects from the UK based Arts and Humanities Research Council funded Connected Communities programme. This book tells stories of the value of collaborative research between universities and communities. It offers a set of resources for people who are interested in doing interdisciplinary research across universities and communities. It provides a lexicon of key ideas that researchers might find useful when approaching this kind of work. The book aims to enhance ways of doing collaborative research in order to improve the ways in which that kind of research is practiced and understood. Nine chapters, based on particular projects, articulate this value in different ways drawing on different research paradigms. Chapters include discussions of tangible and intangible value, an articulation of performing and animation as forms of knowing, explorations of such initiatives as community evaluation, a project on the role of artists in collaborative projects and ways in which tools such as community evaluation, mapping and co-inquiry can aid communities and universities to work together. Chapters also focus on the translation of such research across borders and the legacy of such research within universities and communities. The book ends by mapping the future directions of such research.

On Your Watch: Automation on the Bridge

2002 ◽  
Vol 55 (1) ◽  
pp. 83-96 ◽  
Author(s):  
M. H. Lützhöft ◽  
S. W. A. Dekker
Keyword(s):  
Error Detection ◽  
Human Error ◽  
Automated Systems ◽  
Future Directions ◽  
Research Results ◽  
Sequence Of Events ◽  
The Future ◽  
Machine Work ◽  
Increase Efficiency

In this paper, we discuss the grounding of the Royal Majesty, reconstructed from the perspective of the crew. The aim is particularly to understand the role of automation in shaping crew assessments and actions. Automation is often introduced because of quantitative promises that: it will reduce human error; reduce workload; and increase efficiency. But as demonstrated by the Royal Majesty, as well as by numerous research results, automation has qualitative consequences for human work and safety, and does not simply replace human work with machine work. Automation changes the task it was meant to support; it creates new error pathways, shifts consequences of error further into the future and delays opportunities for error detection and recovery. By going through the sequence of events that preceded the grounding of the Royal Majesty, we highlight the role that automation plays in the success and failure of navigation today. We then point to future directions on how to make automated systems into better team players.

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.

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