scholarly journals Artificial intelligence for healthcare and rescuing technology: technical developments and thoughts about employment impacts

2019 ◽  
pp. 77-82
Author(s):  
Roberto Montemanni ◽  
Jerome Guzzi ◽  
Alessandro Giusti
Keyword(s):  
Artificial Intelligence ◽  
Technical Developments ◽  
Employment Impacts

Datenbasierte Marktmacht in der europäischen Fusionskontrolle

2021 ◽  
Author(s):  
Julian Heim
Keyword(s):  
Artificial Intelligence ◽  
Market Power ◽  
Data Protection ◽  
Business Models ◽  
Antitrust Law ◽  
Competitive Effects ◽  
The Core ◽  
Technical Developments ◽  
Access To Data

Data is the core of Internet-based business models. Ever since Facebook took over WhatsApp, European antitrust law has been faced with the question of how to deal with mergers, especially those involving the well-known Internet giants ("FANG"). Under what circumstances can market power be based as a prohibition criterion on the possession of and access to data? What competitive effects of data-based market power are to be feared in horizontal, vertical and conglomerate mergers? How can any commitments remedy this form of market power? The work takes into account technical developments such as artificial intelligence as well as data protection aspects.

May We Support Your Decision?

1996 ◽  
Vol 1 (3) ◽  
pp. 175-178 ◽  
Author(s):  
Colin Gordon
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Decision Making ◽  
Clinical Practice ◽  
Decision Support ◽  
Health Care Professionals ◽  
Medical Decision Making ◽  
Electronic Patient Record ◽  
Medical Decision ◽  
Technical Developments

Expert systems to support medical decision-making have so far achieved few successes. Current technical developments, however, may overcome some of the limitations. Although there are several theoretical currents in medical artificial intelligence, there are signs of them converging. Meanwhile, decision support systems, which set themselves more modest goals than replicating or improving on clinicians' expertise, have come into routine use in places where an adequate electronic patient record exists. They may also be finding a wider role, assisting in the implementation of clinical practice guidelines. There is, however, still much uncertainty about the kinds of decision support that doctors and other health care professionals are likely to want or accept.

scholarly journals On the Way to Novelty - Society of Ambient Intelligence

2021 ◽  
Vol 100 ◽  
pp. 00001
Author(s):  
Serhii Hushko ◽  
Victoria Solovieva ◽  
Andrii Shaikan ◽  
Inesa Khvostina ◽  
Serhii Semerikov
Keyword(s):  
Artificial Intelligence ◽  
Ambient Intelligence ◽  
Economic Theories ◽  
Technical Developments ◽  
Data Updating ◽  
Short Time ◽  
And Control ◽  
Law Making ◽  
The Way

The ability to bring benefit to the society with the help of the artificial intelligence technologies within the short time drives the developers in many spheres. Modern developments are used to confirm the economic theories, in law-making, technical developments in the field of verification, data updating, security and control.

Recruitment Through AI in Selected Indian Companies

Metamorphosis ◽  
2022 ◽  
pp. 097262252110662
Author(s):  
Siddhi Mehrotra ◽  
Akanksha Khanna
Keyword(s):  
Artificial Intelligence ◽  
Human Resource ◽  
Thematic Analysis ◽  
Value Creation ◽  
Primary Sources ◽  
Structured Interviews ◽  
Business World ◽  
Technical Developments ◽  
Cost Cutting ◽  
Hr Managers

Artificial intelligence (AI) is being used very pervasively with the ever-evolving and competitive business world and has become the 21st-century buzzword. Countless innovations in technology have pushed businesses to make their value creation processes more effective and customer friendly. Digitization has played a significant role in reshaping the different human resource functions and processes. This study aims to elucidate the acceptance of automation in human resource management by employers and the degree to which recruiters can use AI to hire people. The study incorporates a thematic analysis approach, and the data is collected from primary sources by conducting semi-structured interviews with four experts working in IT organizations. This research would be useful for recruiters and HR managers to consider the fields of AI implementation and management to take advantage of cost-cutting technical developments.

scholarly journals From Musical Grammars to Music Cognition in the 1980s and 1990s: Highlights of the History of Computer-Assisted Music Analysis

2007 ◽  
Vol 43 (2) ◽  
pp. 371-396
Author(s):  
Nico Schüler
Keyword(s):  
Artificial Intelligence ◽  
Music Cognition ◽  
Music Analysis ◽  
Human Cognition ◽  
Computer Assisted ◽  
Artificial Intelligence Research ◽  
New Methods ◽  
Technical Developments ◽  
History Of ◽  
Analytical Approaches

While approaches that had already established historical precedents – computer-assisted analytical approaches drawing on statistics and information theory – developed further, many research projects conducted during the 1980s aimed at the development of new methods of computer-assisted music analysis. Some projects discovered new possibilities related to using computers to simulate human cognition and perception, drawing on cognitive musicology and Artificial Intelligence, areas that were themselves spurred on by new technical developments and by developments in computer program design. The 1990s ushered in revolutionary methods of music analysis, especially those drawing on Artificial Intelligence research. Some of these approaches started to focus on musical sound, rather than scores. They allowed music analysis to focus on how music is actually perceived. In some approaches, the analysis of music and of music cognition merged. This article provides an overview of computer-assisted music analysis of the 1980s and 1990s, as it relates to music cognition. Selected approaches are being discussed.

scholarly journals Addressing taxonomic challenges for Internet Use Disorders in light of changing technologies and diagnostic classifications. •

2020 ◽  
Author(s):  
Hans-Jürgen Rumpf ◽  
Dillon Browne ◽  
Dominique Brandt ◽  
Florian Rehbein
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Internet Use ◽  
Structural Characteristics ◽  
Mobile Internet ◽  
The Internet ◽  
Behavioral Addictions ◽  
Technical Developments ◽  
Technological Advances ◽  
The Internet Of Things

AbstractDrawing a distinction between mobile and non-mobile Internet Use Disorders is an important step to clarify blurred current concepts in the field of behavioral addictions. Similarly, future technological advances related to virtual or augmented reality, artificial intelligence or the Internet of things might lead to further modifications or new taxonomies. Moreover, diagnostic specifiers like offline/online might change with technological advances and trends of use. An important taxonomical approach might be to look for common structural characteristics of games and applications that will be amenable to new technical developments. Diagnostic and taxonomical approaches based on empirical evidence are important goals in the study of behavioral addictions.

Artificial Intelligence in Medicine and Biomedicine

2011 ◽  
pp. 346-351
Author(s):  
Athanasios Zekios ◽  
Dimitra Petroudi
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Theory ◽  
Pharmaceutical Sciences ◽  
Quality Healthcare ◽  
Technical Developments ◽  
Healthcare Needs ◽  
Therapeutic Decisions ◽  
New Findings ◽  
Difficult Cases

Man has always strived to augment his abilities by inventing tools. Artificial intelligence in medicine (AIM), has taken up the challenge of creating and distributing advanced tools, utilising technical developments aimed at augmenting man’s reasoning. Increasing quality healthcare needs and advances in medical and pharmaceutical sciences, yet restrictions on physicians’ time for learning while practicing, indicate these tools will prove invaluable in effecting changes (i.e. Simpler organising, storing, and retrieving of important medical facts/new findings) especially when treating difficult cases; continual availability of same for learning purposes; assisting with appropriate diagnostic, prognostic and therapeutic decisions/decision making techniques, using databases, flowcharts and decision theory. Proof of these tools’ indispensability through actual trials, is pending.

scholarly journals Will There Be Superintelligence and Would It Hate Us?

AI Magazine ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 65-70
Author(s):  
Yorick Wilks
Keyword(s):  
Artificial Intelligence ◽  
Social Science ◽  
Decision Theory ◽  
Science Fiction ◽  
Social Effects ◽  
Philosophical Analysis ◽  
The Internet ◽  
Intelligent Machines ◽  
Technical Developments ◽  
The Future

Bostrom’s Superintelligence (SI) is a wide-ranging essay (2016) that has raised important questions about the future of intelligent machines and the possible malign developments they may undergo. But, and perhaps surprisingly, it is not about technical developments in artificial intelligence (AI) nor a philosophical analysis of the concept of SI. There is little of either of these in it, which is largely an extended and stimulating essay on economics, decision theory and other forms of social science, all held together by the unsubstantiated hypothesis of “superintelligence” that belongs more to science fiction than AI. AI may well in some future produce undesirable social effects — the Internet itself could already be such a development — but there is as yet no reason to think they could be on the massive and end-of-civilization scale Bostrom so confidently predicts.

scholarly journals The impact of Industry 4.0 on the processes of social innovation

2021 ◽  
Vol 17 (Special Issue Nr. 1) ◽  
pp. 3-10
Author(s):  
Sándor Karajz
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Social Innovation ◽  
Number Of Solutions ◽  
Digital Revolution ◽  
Good Practices ◽  
Technical Developments ◽  
The Impact ◽  
The Relationship ◽  
Opening Up

Our previous research into this topic has proved that technical developments significantly affect processes and effectiveness of social innovation. The current process of this development is called Industry 4.0. The first part of the study deals with industrial evolutions and the process of Industry 4.0 is interpreted. The second part of the study presents national and international examples and good practices in order to examine the relationship between digitalisation and social innovation. The results of Industry 4.0 reveal that there is an increasing number of solutions for social innovation that are based on digitalisation and automation. The current digital revolution is radically changing societies and opening up new opportunities for social innovation. Industry 4.0 results in social innovation solutions that use artificial intelligence to improve and optimise processes.

scholarly journals Ethical and legal responsibility for Artificial Intelligence

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Patrick Henz
Keyword(s):  
Artificial Intelligence ◽  
Ethical Behavior ◽  
Continuous Flow ◽  
Systematic Errors ◽  
The United States ◽  
Legal Responsibility ◽  
New Developments ◽  
Robin Hood ◽  
Technical Developments ◽  
Catch Up

Abstract“In civilized life, law floats in a sea of ethics”, a quote by the former Chief Justice of the United States, Earl Warren. In a democratic society, the constitution defines the country’s values, and the laws define the preferred or at least still tolerated behavior, making deviations sanctionable. As the society is in a continuous flow, also based on scientific and technical developments, law always lags behind. Until regulations can catch up, ethics has to lead society. In less democratic societies, the water gets polluted up to poisoned, ethical behavior may be against ruling law. As for the latter, Robin Hood was a thief, but for most parts of the population, a hero. The less transparent the water, the more difficult to adapt law to new developments. This includes direct corruption, but also unfaithful lobbying. This article discusses the “nature” of Artificial Intelligence, including the risks its posing, and who is responsible for systematic errors, from a moral, but also legal point.

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