scholarly journals Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
M.-C. Laï ◽  
M. Brian ◽  
M.-F. Mamzer
Keyword(s):  
Artificial Intelligence ◽  
Daily Practice ◽  
Point Of View ◽  
Survey Study ◽  
Grounded Theory Method ◽  
Qualitative Survey ◽  
External Point ◽  
Diverse Backgrounds ◽  
Points Of View ◽  
Legal Difficulties

Abstract Background Artificial intelligence (AI), with its seemingly limitless power, holds the promise to truly revolutionize patient healthcare. However, the discourse carried out in public does not always correlate with the actual impact. Thus, we aimed to obtain both an overview of how French health professionals perceive the arrival of AI in daily practice and the perception of the other actors involved in AI to have an overall understanding of this issue. Methods Forty French stakeholders with diverse backgrounds were interviewed in Paris between October 2017 and June 2018 and their contributions analyzed using the grounded theory method (GTM). Results The interviews showed that the various actors involved all see AI as a myth to be debunked. However, their views differed. French healthcare professionals, who are strategically placed in the adoption of AI tools, were focused on providing the best and safest care for their patients. Contrary to popular belief, they are not always seeing the use of these tools in their practice. For healthcare industrial partners, AI is a true breakthrough but legal difficulties to access individual health data could hamper its development. Institutional players are aware that they will have to play a significant role concerning the regulation of the use of these tools. From an external point of view, individuals without a conflict of interest have significant concerns about the sustainability of the balance between health, social justice, and freedom. Health researchers specialized in AI have a more pragmatic point of view and hope for a better transition from research to practice. Conclusion Although some hyperbole has taken over the discourse on AI in healthcare, diverse opinions and points of view have emerged among French stakeholders. The development of AI tools in healthcare will be satisfactory for everyone only by initiating a collaborative effort between all those involved. It is thus time to also consider the opinion of patients and, together, address the remaining questions, such as that of responsibility.

scholarly journals Formalization of the meaning. Part 2. Space of contexts

2021 ◽  
Vol 11 (3) ◽  
pp. 309-319
Author(s):  
A.D. Redozubov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Characteristic Feature ◽  
Original Description ◽  
Point Of View ◽  
Previous Experience ◽  
Unique Point ◽  
Strong Artificial Intelligence ◽  
Significant Difference ◽  
Incoming Information ◽  
Points Of View

In the first part of the article, it was shown that there is a significant difference between the concepts given through definitions described by sets of features, and those concepts that a person operates and behind which there is an idea of meaning. It has been suggested that this is the key point in differentiating the concept of traditional artificial intelligence and strong artificial intelligence. It was proposed to use related points of view, which can be described by appropriate contexts, to formalize natural concepts. This part of the article provides a formalization of the context as a unique point of view. With the context the original description acquires interpretation, its characteristic feature for this context. The use of previous experience allows us to check the adequacy of the received interpretation. By comparing the concepts used with their contexts, it is possible to obtain a space of contexts that is able to search for potentially possible mean-ings in the incoming information. The use of the context space allowed us to describe the mechanism for transferring experience from one context to another. Based on the contextual transfer, an explanation of the phenomenon of creativi-ty and a description of its nature are given.

scholarly journals Formalization of the meaning. Part 1

2021 ◽  
Vol 11 (2) ◽  
pp. 144-153
Author(s):  
A.D. Redozubov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Formal Model ◽  
Point Of View ◽  
Surrounding World ◽  
Strong Artificial Intelligence ◽  
Points Of View ◽  
Characteristic Features ◽  
Definition Of ◽  
The Brain

Every area of knowledge builds its descriptions using concepts. At the same time, the definition of concepts given through their characteristic features is widespread. On this basis, both basic mathematical and many philosophical concepts are built. The concepts which a person uses are subject to similar properties, and their nature is the nature of definitions. Numerous attempts to create strong artificial intelligence are based on the corresponding paradigm. The article attempts to substantiate the need to use the contextual-semantic paradigm to explain the work of the natural brain and to create a strong artificial intelligence. A formal model describing the meaning is presented, and its connection with the known data on the functioning of the brain is given. It is shown that a context can be created around each concept, which can be the bearer of the concept's meaning. The context allows one to move away from using a set of features to recognize the phenomenon behind a concept. The context turns out to be a point of view associated with the concept, in which the description of the surrounding world changes. Knowing the rules of these changes, one can not only model different points of view, but also determine which of them create adequate interpretations. At the same time, the presence of an adequate interpretation in the context of the phenomenon serves as a criterion for the presence of this phenomenon.

NONSENSE, ABSURDITY AND PARADOX AS LINGUISTIC AND CULTURAL CATEGORIES

2019 ◽  
Keyword(s):  
Cognitive Function ◽  
Common Sense ◽  
Point Of View ◽  
Ontological Category ◽  
Ordinary Meaning ◽  
New Meanings ◽  
Points Of View ◽  
Human Thinking

In the article the analysis of nonsense, absurdity and paradox from the standpoint of linguistics is giv-en. Different points of view on these categories in relation to the meaning are considered. An attempt is made to reveal the commonality and specificity of nonsense, absurdity and paradox. Some researchers consider nonsense and paradox as a kind of absurdity. There is a dichotomous point of view on nonsense as one of the components of absurdity. However, there are works where these categories are differentiat-ed, for example, absurdity is understood as an ontological category, and nonsense as an epistemological category. There is a view of these categories through the allocation of "non-sense", "out-sense" and 136 "counter-sense" there is also a view that in the case of nonsense we are talking about the incompatibility of representations, and in the case of absurdity-the incompatibility of objects. If there are criteria that allow us to consider the presence of this phenomenon as natural, absurdity ceases to exist. Consequently, the view is expressed that nonsense, absurdity and paradox are different categories of thinking. Paradox is a contradiction arising from the presence of two or more common sense. The absurdity can be seen as a" counter-sense» opposing common sense and putting forward the concept of active impossibility of the latter's existence. As for nonsense, it is the meaning of metaphysical level – a meaning that goes beyond the ordinary meaning and creates new meanings. It is concluded that nonsense, absurdity and paradox are independent categories of human thinking, which is a manifestation of the cognitive function of hu-man consciousness.

Innovative Marketing Strategies for Select E-Commerce Companies in India - A Review.

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Amit Kumar Bhanja ◽  
P.C Tripathy
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Business Environment ◽  
Marketing Strategies ◽  
Point Of View ◽  
Digital Marketing ◽  
Customer Base ◽  
Innovative Methods ◽  
Online Shoppers ◽  
Drastic Increase

Innovation is the key to opportunities and growth in today’s competitive and dynamic business environment. It not only nurtures but also provides companies with unique dimensions for constant reinvention of the existing way of performance which enables and facilitates them to reach out to their prospective customers more effectively. It has been estimated by Morgan Stanley that India would have 480 million shoppers buying products online by the year 2026, a drastic increase from 60 million online shoppers in the year 2016. E-commerce companies are aggressively implementing innovative methods of marketing their product offerings using tools like digital marketing, internet of things (IoT)and artificial intelligence to name a few. This paper focuses on outlining the innovative ways of marketing that the E-Commerce sector implements in orders to increase their customer base and aims at determining the future scope of this area. A conceptual comparative study of Amazon and Flipkart helps to determine which marketing strategies are more appealing and beneficial for both the customers and companies point of view.

scholarly journals Lessons from the COVID-19 Pandemic on the Use of Artificial Intelligence in Digital Radiology: The Submission of a Survey to Investigate the Opinion of Insiders

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 331
Author(s):  
Daniele Giansanti ◽  
Ivano Rossi ◽  
Lisa Monoscalco
Keyword(s):  
Artificial Intelligence ◽  
General Purpose ◽  
Point Of View ◽  
General Point ◽  
Thoracic Radiography ◽  
Digital Radiology ◽  
Electronic Survey ◽  
Radiology Technicians ◽  
Medical Radiology ◽  
Great Development

The development of artificial intelligence (AI) during the COVID-19 pandemic is there for all to see, and has undoubtedly mainly concerned the activities of digital radiology. Nevertheless, the strong perception in the research and clinical application environment is that AI in radiology is like a hammer in search of a nail. Notable developments and opportunities do not seem to be combined, now, in the time of the COVID-19 pandemic, with a stable, effective, and concrete use in clinical routine; the use of AI often seems limited to use in research applications. This study considers the future perceived integration of AI with digital radiology after the COVID-19 pandemic and proposes a methodology that, by means of a wide interaction of the involved actors, allows a positioning exercise for acceptance evaluation using a general purpose electronic survey. The methodology was tested on a first category of professionals, the medical radiology technicians (MRT), and allowed to (i) collect their impressions on the issue in a structured way, and (ii) collect their suggestions and their comments in order to create a specific tool for this professional figure to be used in scientific societies. This study is useful for the stakeholders in the field, and yielded several noteworthy observations, among them (iii) the perception of great development in thoracic radiography and CT, but a loss of opportunity in integration with non-radiological technologies; (iv) the belief that it is appropriate to invest in training and infrastructure dedicated to AI; and (v) the widespread idea that AI can become a strong complementary tool to human activity. From a general point of view, the study is a clear invitation to face the last yard of AI in digital radiology, a last yard that depends a lot on the opinion and the ability to accept these technologies by the operators of digital radiology.

scholarly journals Human-Centered AI to Support an Adaptive Management of Human-Machine Transitions with Vehicle Automation

Information ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
Thierry Bellet ◽  
Aurélie Banet ◽  
Marie Petiot ◽  
Bertrand Richard ◽  
Joshua Quick
Keyword(s):  
Artificial Intelligence ◽  
Adaptive Management ◽  
Driving Simulator ◽  
End Users ◽  
Point Of View ◽  
Human Centered Design ◽  
Perceived Utility ◽  
New Type ◽  
Future Potential ◽  
Vehicle Automation

This article is about the Human-Centered Design (HCD), development and evaluation of an Artificial Intelligence (AI) algorithm aiming to support an adaptive management of Human-Machine Transition (HMT) between car drivers and vehicle automation. The general principle of this algorithm is to monitor (1) the drivers’ behaviors and (2) the situational criticality to manage in real time the Human-Machine Interactions (HMI). This Human-Centered AI (HCAI) approach was designed from real drivers’ needs, difficulties and errors observed at the wheel of an instrumented car. Then, the HCAI algorithm was integrated into demonstrators of Advanced Driving Aid Systems (ADAS) implemented on a driving simulator (dedicated to highway driving or to urban intersection crossing). Finally, user tests were carried out to support their evaluation from the end-users point of view. Thirty participants were invited to practically experience these ADAS supported by the HCAI algorithm. To increase the scope of this evaluation, driving simulator experiments were implemented among three groups of 10 participants, corresponding to three highly contrasted profiles of end-users, having respectively a positive, neutral or reluctant attitude towards vehicle automation. After having introduced the research context and presented the HCAI algorithm designed to contextually manage HMT with vehicle automation, the main results collected among these three profiles of future potential end users are presented. In brief, main findings confirm the efficiency and the effectiveness of the HCAI algorithm, its benefits regarding drivers’ satisfaction, and the high levels of acceptance, perceived utility, usability and attractiveness of this new type of “adaptive vehicle automation”.

Surviving Sudden Cardiac Arrest: A Pilot Qualitative Survey Study of Survivors

2016 ◽  
Vol 6 (2) ◽  
pp. 76-84 ◽  
Author(s):  
Kelly N. Sawyer ◽  
Frances Brown ◽  
Roxanne Christensen ◽  
Colleen Damino ◽  
Mary M. Newman ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Sudden Cardiac Arrest ◽  
Survey Study ◽  
Qualitative Survey

scholarly journals Introduction

2017 ◽  
Vol 30 (4) ◽  
pp. 799-800
Author(s):  
MÓNICA GARCÍA-SALMONES ROVIRA ◽  
PAOLO AMOROSA
Keyword(s):  
International Law ◽  
Case Studies ◽  
Point Of View ◽  
Colonial Legacy ◽  
Normative Systems ◽  
Diverse Backgrounds ◽  
History Of ◽  
Colonial Governance ◽  
History Of International Law

The deep relation between the colonial past and contemporary international law has been convincingly established. Scholars from diverse backgrounds, employing a variety of approaches, have shown the multifaceted ways in which the colonial enterprise occasioned the birth of doctrines and practices that are still in common use. The conference that occasioned this symposium, the last of the project History of International Law: Between Religion and Empire, directed by Martti Koskenniemi, was held in Helsinki in October 2016 and approached the issue of the colonial legacy of international law from the point of view of specific histories. The ‘techniques of empire’ raised at the conference encompassed colonial governance in the broadest sense, looking at practices, norms and normative systems, doctrines and concepts, and events. The case studies making up the articles featured in the symposium treat subjects as diverse as the experiences of colonialism have been, assuming an array of forms. Even so, from the multiplicity of techniques certain patterns and themes emerge.

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