Deception and detection: the use of technology in assessing witness credibility

2021 ◽  
Author(s):  
Robert Bradshaw
Keyword(s):  
Artificial Intelligence ◽  
Eye Tracking ◽  
Brain Imaging ◽  
New Technologies ◽  
Witness Testimony ◽  
Witness Credibility ◽  
Use Of Technology ◽  
New Generation

Abstract Tribunals, like courts, have long grappled with differentiating truthful from untruthful witnesses. A number of cases before the Court of Arbitration for Sport have considered whether polygraph evidence is admissible as a means of verifying witness testimony, though tribunals have not reached any consensus. Now, authorities in several countries are trialling a new generation of ‘lie detectors’ using technologies such as eye tracking, artificial intelligence, and brain imaging. Proponents argue that these new technologies are more accurate and less subjective than existing polygraphs and that they can transform the nature of witness evidence. This article outlines the potential scope of lie-detecting technologies in arbitration and their promise to revolutionize tribunals’ evaluations of witness credibility. It considers objections to their usage, including reliability, machine bias and privacy, and the privilege against self-incrimination, and concludes that considerations of fairness and proportionality favour excluding lie-detector evidence.

scholarly journals The Use of Artificial Intelligence in Industry 4.0

2020 ◽  
Vol 73 ◽  
Author(s):  
Maksim Sharabov ◽  
Georgi Tsochev
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Industry 4.0 ◽  
New Technologies ◽  
Web Of Science ◽  
Predictive Analytics ◽  
Use Case ◽  
Industrial Robotics ◽  
The Past ◽  
New Generation

This article presents a brief overview of the effect of new technologies, how they are changing the manufacturing process, and how the machines are starting to get a lot smarter thanks to the artificial intelligence. The focus is over the examination of Industry 4.0 and how it revolutionized the whole manufacturing segment and what promise of a better, more efficient future it brings. This analysis focuses primarily on how artificial intelligence is integrated, what benefits it brings, and how big of an improvement it is over basic programming. Part of the research is based on 771 publications tracked over the past three to five years. Publications are within some of the well-known databases Scopus, Web of Science, and IEEE. We will examine the basic use case scenarios where AI is crucially needed and how a new generation of the factory can look and feel like a living human being. Keywords: Industry 4.0, artificial intelligence, predictive analytics, predictive maintenance, industrial robotics, computer vision.

scholarly journals Artificial Intelligence in Tourism & Hospitality – The Perception of Tourists and Tourism Companies in Romania

2021 ◽  
Vol 66 (2) ◽  
pp. 41-60
Author(s):  
Mihaela-Filofteia Tutunea ◽  
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Human Life ◽  
Jel Classification ◽  
Human Interaction ◽  
Human Society ◽  
Use Of Technology ◽  
Tourism And Hospitality ◽  
The One ◽  
Secondary Information

In a world where everyday life is directly influenced and focused on the use of technology as a support for individual and professional daily activity, we are all witnessing an increasingly obvious change in human interaction; we all notice how interpersonal interaction is rapidly being replaced by new technologies, solutions and application such as IoT and AI and which are going to completely change the perspective on human life so far. From this perspective and in the conditions of the ongoing pandemic, the present study focused on identifying the changes brought by AI solutions and applications in some of the most flexible and adaptable industries such as tourism and hospitality; in order to obtain a more complete picture, the study was oriented in a double perspective, namely the offer from the tourism & hospitality industry, on the one hand and the tourists, on the other hand; regarding the offer from tourism and hospitality, the study used both primary and secondary information, to visualize an image of the existing AI solutions/applications and adopted by the companies in these industries; For the category of tourists, knowing the generational difference regarding the new technologies from the perspective of the level of acceptance and their use, the study aimed at identifying generational profiles regarding the acceptance and use of AI applications in the tourist experience. We consider that the results of the study can be an important support for conducting more complex and comparative studies, related to the use of new technologies that obviously change the development of human society. Keywords: AI (artificial intelligence), tourism, hospitality, generations JEL classification: L86, M15, L83

Acceptance of the Use of Artificial Intelligence in Medicine Among Japan’s Doctors and the Public: Questionnaire Survey (Preprint)

2020 ◽  
Author(s):  
Honoka Tamori ◽  
Hiroko Yamashina ◽  
Masami Mukai ◽  
Yasuhiro Morii ◽  
Teppei Suzuki ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Online Survey ◽  
New Technologies ◽  
Developed Countries ◽  
Medical Industry ◽  
Intention To Use ◽  
The Public ◽  
Use Of Technology ◽  
Wilcoxon Rank Sum Test ◽  
The Government

BACKGROUND The use of artificial intelligence (AI) in the medical industry promises many benefits so AI has been introduced to medicine primarily in developed countries. In Japan, the government is preparing for the rollout of AI in the medical industry. This rollout depends on doctors and the public accepting the technology. It is therefore necessary to consider acceptance among doctors and among the public. However, little is known about the acceptance of AI in medicine. OBJECTIVE This study aimed to obtain detailed data on acceptance of AI in medicine by comparing the acceptance among Japanese doctors with that among the Japanese public. METHODS We conducted an online survey, and the responses of doctors and members of the public were compared. A questionnaire was prepared referred to the Unified Theory of Acceptance and Use of Technology, a model of behavior toward new technologies. It comprises 20 items, and each item was rated on a five-point scale. Using this questionnaire, we conducted an online survey in 2018 among 399 doctors and 600 members of the public. The sample-wide responses were analyzed, and then the responses of the doctors were compared with those of the public using a Wilcoxon rank sum test. RESULTS Regarding the sample-wide responses (N=999), 653 (65.4%) of the respondents believed that AI would be necessary in medicine in the future, whereas only 447 (44.7%) expressed an intention to use AI-driven medicine. Additionally, 730 (73.1%) believed that regulatory legislation was necessary, and 734 (73.5%) were concerned about where accountability lies. Regarding the comparison between doctors and the public, doctors (median; 4, mean; 3.43) were more likely than members of the public(median; 3, mean; 3.23) to express intention to use AI-driven medicine (P<.001), suggesting that optimism about AI in medicine is greater among doctors compared with the public. CONCLUSIONS Many of the respondents were optimistic with the role of AI in medicine. However, when asked whether they would like to use AI-driven medicine, they tended to give a negative response. This trend suggests that concerns about the lack of regulation and about accountability hindered acceptance. Additionally, the results revealed that doctors were more enthusiastic than members of the public regarding AI-driven medicine.

scholarly journals How Should Chemistry Educators Respond to the Next Generation of Technology Change?

2020 ◽  
Vol 10 (2) ◽  
pp. 34
Author(s):  
Harry E. Pence
Keyword(s):  
Artificial Intelligence ◽  
Chemistry Education ◽  
New Technologies ◽  
Classroom Teaching ◽  
Technology Change ◽  
Similar Argument ◽  
Instructional Technologies ◽  
Individualized Learning ◽  
The Social ◽  
New Generation

Chemical educators are facing a new generation of instructional technologies that impact classroom teaching. New technologies, like smartphones, cloud computing and artificial intelligence take learning beyond the classroom; 3D printing, virtual reality, and augmented reality provide new ways to teach the virtualization skills that are important for chemists. These technologies cause students to become more isolated, so students may not develop the social skills that they will need for today’s workplace. Individualized learning may be beneficial to many students, but it will create challenges for faculty. Although this article focuses on chemistry education, it should be apparent that a similar argument could be made for other sciences, like physics and biology.

scholarly journals Manfaat dan Dampak Digitalisasi Logistik di Era Industri 4.0

2020 ◽  
Vol 4 (1) ◽  
pp. 49-63
Author(s):  
Erwin Raza ◽  
La Ode Sabaruddin ◽  
Aziza Leila Komala
Keyword(s):  
Artificial Intelligence ◽  
3D Printing ◽  
Internet Of Things ◽  
Adverse Effects ◽  
Industrial Revolution ◽  
New Technologies ◽  
Logistics Industry ◽  
Left Behind ◽  
Use Of Technology ◽  
Logistics Process

All the time, innovative and new technologies continue to be developed. This forces anyone involved in the logistics industry to adapt so as not to be left behind and experience adverse effects. With the 4.0 industrial revolution, now many companies are starting to implement digitalization in their logistics activities. There are five main technologies that must be considered in the 4.0 Industrial Revolution, namely Artificial Intelligence (AI), Internet of Things (IoT), Wearable Technology (WT), Advanced Robotic (AR) and 3D Printing (3DP). This research was conducted to explore the benefits and impacts of digitizing the logistics process in the Industrial 4.0 era by examining it from various sources. The results showed that the use of technology for digitizing logistics provided many benefits both for individuals and for corporate organizations. The stakeholders are expected to be able to work together adequately to ensure the technology present in the Industrial 4.0 era provides the benefits that are expected.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

AI Narratives

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Ancient Greece ◽  
Historical Overview ◽  
Intelligent Machines ◽  
Narrative History ◽  
History Of ◽  
Imaginative Thinking ◽  
The Relationship ◽  
Insight Into

This book is the first to examine the history of imaginative thinking about intelligent machines. As real artificial intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing prehistory of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first centuries in which a greater density of narratives emerged alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI’s social, ethical, and philosophical consequences, including questions of dehumanization, automation, anthropomorphization, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

scholarly journals Why a Virtual Assistant for Moral Enhancement When We Could have a Socrates?

2021 ◽  
Vol 27 (4) ◽  
Author(s):  
Francisco Lara
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
New Technologies ◽  
Personal Autonomy ◽  
Moral Enhancement ◽  
Moral Decisions ◽  
Educational Methodology ◽  
Better Than

AbstractCan Artificial Intelligence (AI) be more effective than human instruction for the moral enhancement of people? The author argues that it only would be if the use of this technology were aimed at increasing the individual's capacity to reflectively decide for themselves, rather than at directly influencing behaviour. To support this, it is shown how a disregard for personal autonomy, in particular, invalidates the main proposals for applying new technologies, both biomedical and AI-based, to moral enhancement. As an alternative to these proposals, this article proposes a virtual assistant that, through dialogue, neutrality and virtual reality technologies, can teach users to make better moral decisions on their own. The author concludes that, as long as certain precautions are taken in its design, such an assistant could do this better than a human instructor adopting the same educational methodology.

scholarly journals Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiara Barchielli ◽  
Cristina Marullo ◽  
Manila Bonciani ◽  
Milena Vainieri
Keyword(s):  
Social Influence ◽  
Ad Hoc ◽  
New Technologies ◽  
Management Strategies ◽  
Technological Innovations ◽  
Utaut Model ◽  
Use Of Technology ◽  
The Social ◽  
Depth Analysis ◽  
Facilitating Conditions

Abstract Background Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions. Purpose An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses. Approach The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis. Results The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse. Conclusion The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses’ acceptance and intention to use new technologies (o technology-intensive devices). Practical implications Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.

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