scholarly journals Beneficial AI: the next battlefield

2018 ◽  
Vol 5 (4) ◽  
pp. 6-17
Author(s):  
Eugénio Oliveira
Keyword(s):  
Artificial Intelligence ◽  
New Technology ◽  
Decisive Role ◽  
Science And Engineering ◽  
Human In The Loop ◽  
Giant Leap ◽  
The Media ◽  
Cautious Interpretation ◽  
Near Future ◽  
First World

When planting our human print in a new technology-driven world we should ask, remembering Neil Armstrong in 1969, “after many small steps for AI researchers, will it result in a giant leap in the unknown for mankind?” An “Artificial Intelligence-first” world is being preached all over the media by many responsible players in economic and scientific communities.This letter states our belief in AI potentialities, including its major and decisive role in computer science and engineering, while warning against the current hyping of its near future. Although quite excited by several recent interesting revelations about the future of AI, we here argue in favor of a more cautious interpretation of the current and future AI-based systems potential outreach.We also include some personal perspectives on simple remedies to preventing recognized possible dangers. We advocate a set of practices and principles that may prevent the development of AI-based systems prone to be misused.Accountable “Data curators”, appropriate Software Engineering specification methods, the inclusion, when needed, of the “human in the loop”, software agents with emotion-like states might be important factors leading to more secure AI-based systems.Moreover, to inseminate ART in Artificial Intelligence, ART standing for Accountability, Responsibility and Transparency, becomes also mandatory for trustworthy AI-based systems.This letter is an abbreviation of a more substantial article to be published in IJCA journal.

scholarly journals الطبيعة القانونية للتنبؤ بالجريمة بواسطة الذكاء الاصطناعي ومشروعيته

2021 ◽  
Vol 3 (2) ◽  
pp. 341-359
Author(s):  
Mahmoud S. Elsherif
Keyword(s):  
Artificial Intelligence ◽  
New Technology ◽  
Personal Data ◽  
Modern Technology ◽  
Security Measures ◽  
Legal Nature ◽  
Constitutional Right ◽  
Criminal Protection ◽  
Vital Matter ◽  
Near Future

Predicting a crime before it occurs is not considered unseen, but rather a probable prediction, it may even be probable, concerned with analyzing a large amount of data according to algorithms prepared in advance for this purpose, that modern technology produced by artificial intelligence has had a great impact in aborting crime early. The fight against criminality is a necessary and vital matter that is renewed and developed according to the reality of its society, and the curtain does not fall - at the same time - on the jurisprudential theories that have always lurked with the criminal, sometimes analyzing him psychologically, sometimes socially, and sometimes biologically, in order to assess his criminal seriousness, and apply appropriate measures to prevent his return to crime. Once again, the algorithms - which are the backbone of AI - are taking on the task more precisely, faster, and cost less. However, the novelty of this method has added a kind of ambiguity in determining its legal nature and legality. With regard to the legal nature, we find that they are no more than security measures that are included in the duties of the arresting officers, because the prediction of a crime precedes its commission of course, and therefore no inference or investigation procedures of any kind can be taken regarding it. As for the legality of using artificial intelligence to predict the crime despite its risks affecting the constitutional right to protect personal data, however, those risks are quickly dispelled in the case in which the legislator is involved in enacting criminal protection for that data, as well as granting law enforcement officers the appropriate restrictive authority to be able to activate This new technology aims to reduce crime in the near future.

The Networked Global Order

2020 ◽  
pp. 151-186
Author(s):  
David Martin Jones
Keyword(s):  
Artificial Intelligence ◽  
Social Justice ◽  
Identity Politics ◽  
Financial Crises ◽  
New Technology ◽  
Nation State ◽  
End Of History ◽  
Liberal Democratic ◽  
The Us ◽  
The Media

Economic redistribution, and social equality required an interconnected, regional and global trading order. After 1989, it was easy to believe that a liberal democratic model, supported by US-sponsored international rules, would spread across the globe. However, over two decades, unmoveable progressive values proved internally and externally unsustainable. After 2008, the US subprime and Eurozone financial crises eroded the economic preconditions supporting these values and undermined the already fragile relationship between the nation state, the market, the media, and a cosmopolitan faith in a liberal democratic end of history. Ironically, liberal progressive values, committed to the idea that all social ills were amenable to technocratic remedy and that the state was a suitable instrument for making such change, rationally engineered inegalitarian outcomes. This chapter examines how the financial crisis destroyed the meliorist assumption linking capitalism, globalization, and democracy rendering the pursuit of universal emancipation and social justice increasingly redundant. One consequence of this evolution was an artificial intelligence and new technology driven intangible economic order. The new economy incubated a paranoid populist style of identity politics that emerged after 2016. Instead of convergence, the new intangible capitalist structure erected a burgeoning divide between a cosmopolitan elite and a disenfranchised, nation based, precariat class.

scholarly journals The students' and graduates' perception of the potential usefulness of Artificial Intelligence (AI) in the academic curricula of Finance and Accounting Courses

e-mentor ◽  
2021 ◽  
Vol 92 (5) ◽  
pp. 16-25
Author(s):  
Barbara Grabińska ◽  
◽  
Mariusz Andrzejewski ◽  
Konrad Grabiński
Keyword(s):  
Artificial Intelligence ◽  
Technological Change ◽  
New Technologies ◽  
New Technology ◽  
University Education ◽  
Academic Education ◽  
Accounting Courses ◽  
One Step ◽  
Computer Based ◽  
Near Future

The application of computer-based technologies in academic education has at least three decades of history and experience. In some study fields, it has been present since the very beginning, while in others it has become a necessity only in recent years. The ongoing technological revolution is disrupting the traditional professions with fundamental changes and – in some cases – even with the threat of disappearance of jobs. The finance and accounting professions are expected to undergo a technological change in the near future. While the changes are visible at the corporate level, university education seems to lag one step behind. We conducted a study among the students and graduates of the finance and accounting line of studies at the Cracow University of Economics. Using regression analysis, we investigate the perception of the usefulness of courses providing knowledge on new technologies like Artificial Intelligence (AI). We use a unique Polish setting, which is a leader in terms of outsourcing services. Our findings show that both students and graduates are aware of the importance of technological change. The courses teaching basic subjects are essential, but the current expectations are much higher in terms of the application of new technology based on AI in finance and accounting.

The Process of Globalization and Its Impact on Media

2016 ◽  
Vol 1 (4) ◽  
pp. 150
Author(s):  
Veton Zejnullahi
Keyword(s):  
New Technology ◽  
World Order ◽  
Modern Society ◽  
Media Access ◽  
Four Corners ◽  
The World ◽  
The Media ◽  
The Republic ◽  
Human Eyes ◽  
The Impact

The process of globalization, which many times is considered as new world order is affecting all spheres of modern society but also the media. In this paper specifically we will see the impact of globalization because we see changing the media access to global problems in general being listed on these processes. We will see that the greatest difficulties will have small media as such because the process is moving in the direction of creating mega media which thanks to new technology are reaching to deliver news and information at the time of their occurrence through choked the small media. So it is fair to conclude that the rapid economic development and especially the technology have made the world seem "too small" to the human eyes, because for real-time we will communicate with the world with the only one Internet connection, and also all the information are take for the development of events in the four corners of the world and direct from the places when the events happen. Even Albanian space has not left out of this process because the media in the Republic of Albania and the Republic of Kosovo are adapted to the new conditions under the influence of the globalization process. This fact is proven powerful through creating new television packages, written the websites and newspapers in their possession.

scholarly journals Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Pierre Auloge ◽  
Julien Garnon ◽  
Joey Marie Robinson ◽  
Sarah Dbouk ◽  
Jean Sibilia ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Interventional Radiology ◽  
Clinical Practice ◽  
Medical Students ◽  
Medical Curriculum ◽  
New Technology ◽  
Large Population ◽  
The Other ◽  
Clinical Phase ◽  
Preclinical Phase

Abstract Objectives To assess awareness and knowledge of Interventional Radiology (IR) in a large population of medical students in 2019. Methods An anonymous survey was distributed electronically to 9546 medical students from first to sixth year at three European medical schools. The survey contained 14 questions, including two general questions on diagnostic radiology (DR) and artificial intelligence (AI), and 11 on IR. Responses were analyzed for all students and compared between preclinical (PCs) (first to third year) and clinical phase (Cs) (fourth to sixth year) of medical school. Of 9546 students, 1459 students (15.3%) answered the survey. Results On DR questions, 34.8% answered that AI is a threat for radiologists (PCs: 246/725 (33.9%); Cs: 248/734 (36%)) and 91.1% thought that radiology has a future (PCs: 668/725 (92.1%); Cs: 657/734 (89.5%)). On IR questions, 80.8% (1179/1459) students had already heard of IR; 75.7% (1104/1459) stated that their knowledge of IR wasn’t as good as the other specialties and 80% would like more lectures on IR. Finally, 24.2% (353/1459) indicated an interest in a career in IR with a majority of women in preclinical phase, but this trend reverses in clinical phase. Conclusions Development of new technology supporting advances in artificial intelligence will likely continue to change the landscape of radiology; however, medical students remain confident in the need for specialty-trained human physicians in the future of radiology as a clinical practice. A large majority of medical students would like more information about IR in their medical curriculum; almost a quarter of students would be interested in a career in IR.

Defending the Dardanelles: Cevat Paşa, ‘The Hero of 18 March’

2021 ◽  
pp. 096834452110214
Author(s):  
Gün Kut
Keyword(s):  
Decisive Role ◽  
First World War ◽  
World War ◽  
Careful Planning ◽  
Army Officer ◽  
The First World War ◽  
Successful Execution ◽  
Ultimate Failure ◽  
Defensive Measures ◽  
First World

Cevat Paşa (General Cevat Çobanlı: 1870-1938) was an Ottoman Army officer who played a decisive role in the defence of the Dardanelles Strait against the Allied offensive during the First World War. He had been primarily responsible for the preparation and improvement of defensive plans as the commander of the Çanakkale Fortified Zone, as well as the implementation of these plans during the Allied naval assault of 19 February-18 March 1915. The ultimate failure of the offensive was mainly due to the careful planning and successful execution of defensive measures under the command of Cevat Paşa.

scholarly journals A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jane Scheetz ◽  
Philip Rothschild ◽  
Myra McGuinness ◽  
Xavier Hadoux ◽  
H. Peter Soyer ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
New Zealand ◽  
Radiation Oncology ◽  
Online Survey ◽  
New Technology ◽  
Medical Liability ◽  
Healthcare Outcomes ◽  
Medical Workforce ◽  
Artificial Intelligence Technology ◽  
Workforce Needs

AbstractArtificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that clinicians have to this new technology. In June–August 2019 we conducted an online survey of fellows and trainees of three specialty colleges (ophthalmology, radiology/radiation oncology, dermatology) in Australia and New Zealand on artificial intelligence. There were 632 complete responses (n = 305, 230, and 97, respectively), equating to a response rate of 20.4%, 5.1%, and 13.2% for the above colleges, respectively. The majority (n = 449, 71.0%) believed artificial intelligence would improve their field of medicine, and that medical workforce needs would be impacted by the technology within the next decade (n = 542, 85.8%). Improved disease screening and streamlining of monotonous tasks were identified as key benefits of artificial intelligence. The divestment of healthcare to technology companies and medical liability implications were the greatest concerns. Education was identified as a priority to prepare clinicians for the implementation of artificial intelligence in healthcare. This survey highlights parallels between the perceptions of different clinician groups in Australia and New Zealand about artificial intelligence in medicine. Artificial intelligence was recognized as valuable technology that will have wide-ranging impacts on healthcare.

scholarly journals Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries

2021 ◽  
Vol 14 (8) ◽  
pp. 339
Author(s):  
Tatjana Vasiljeva ◽  
Ilmars Kreituss ◽  
Ilze Lulle
Keyword(s):  
Artificial Intelligence ◽  
Primary Data ◽  
Structured Interviews ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Public Survey ◽  
Significant Difference ◽  
Main Factors ◽  
Negative Factors ◽  
Near Future

This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.

scholarly journals A Survey on Bias and Fairness in Machine Learning

2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
State Of The Art ◽  
Future Directions ◽  
Discriminatory Behavior ◽  
Real World Applications ◽  
Near Future ◽  
Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

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