New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence

2022 ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 288-293
Author(s):  
Codrin-Leonard Herţanu

AbstractOur contemporary world is on the verge of crucial changes of an unparalleled pace. The ‘technological changeover’ is the new paradigm caused by the unprecedented evolution of the disruptive technologies. The present world has the tendency to evolve at least exponential, therefore future educational environment is fairly different than its present layout. An entire array of nowadays studies widely recognizes that the progress of the disruptive technologies will pose a meaningful impact over the educational system evolution. Among the most spectacular technologies with disruptive features we should encounter Artificial Intelligence, Blockchain Technology, Cloud Computing, and the like. In an era of technological disruption the education is seen as the new currency. With the help of Artificial Intelligence, for instance, the education system could track how people learn from kindergarten to retirement. Besides, the technology domain will move the centre of gravity from the institutional area to that of the education’s beneficiaries, as we might expect that they will recruit and employ the needed teacher staff, not the institutions. Moreover, the education’s recipients will be the main creators of tomorrow’s professions and within their community the overarching events will happen and the main decisions will be taken in the educational domain.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Florian Königstorfer ◽  
Stefan Thalmann

Purpose Artificial intelligence (AI) is currently one of the most disruptive technologies and can be applied in many different use cases. However, applying AI in regulated environments is challenging, as it is currently not clear how to achieve and assess the fairness, accountability and transparency (FAT) of AI. Documentation is one promising governance mechanism to ensure that AI is FAT when it is applied in practice. However, due to the nature of AI, documentation standards from software engineering are not suitable to collect the required evidence. Even though FAT AI is called for by lawmakers, academics and practitioners, suitable guidelines on how to document AI are not available. This interview study aims to investigate the requirements for AI documentations. Design/methodology/approach A total of 16 interviews were conducted with senior employees from companies in the banking and IT industry as well as with consultants. The interviews were then analyzed using an informed-inductive coding approach. Findings The authors found five requirements for AI documentation, taking the specific nature of AI into account. The interviews show that documenting AI is not a purely technical task, but also requires engineers to present information on how the AI is understandably integrated into the business process. Originality/value This paper benefits from the unique insights of senior employees into the documentation of AI.


Author(s):  
Ayansola Olatunji Ayandibu ◽  
Irrshad Kaseeram ◽  
Makhosazana Faith Vezi-Magigaba ◽  
Olufemi Michael Oladejo

This chapter carries out extensive review of literature on the 4th Industrial Revolution. In the last decades, many stakeholders such as industries, governments, employers and employers' organisations, workers and their unions, and academics have expressed divergent opinion of the 4th Industrial Revolution. The 4th industrial revolution is the 4th stage of a mechanical movement process that began towards the end of the 18th century where mechanised production replaced manual production process. Research shows that the 4th Industrial Revolution brought about ‘disruptive technologies' such as artificial intelligence, robotics, blockchain, and 3D printing, which transforms social, economic, and political systems, often in unpredictable ways.


Philosophies ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 24
Author(s):  
Migle Laukyte

The paper addresses the impact of disruptive technologies on the sport ecosystem, represented by four constitutive elements: athletes, coaches, judges, and fans. In particular, the paper argues that to understand the changes introduced by Artificial Intelligence, biotechnologies, and other disruptive technologies, we have to look at this sport ecosystem as a whole and ask ethical questions related to how each of these elements—and not just the athlete—is affected by them. The paper discusses some of the real-life applications of disruptive technologies that are being currently introduced within different sports and works out their most critical aspects both in terms of positive and negative impact on the sport ecosystem as we know it.


Author(s):  
Dhanalakshmi Senthilkumar

Blockchain and artificial intelligence are two disruptive technologies in the today's world; Blockchain can connect data storage and data users from multiple domains, and different kinds of analytics applications run on top of the data in artificial intelligence techniques. So that Blockchain technology provide the excellent backbone for the development of artificial intelligence algorithms, it is useful to secure the data input from multiple data storage locations and to have whatever applications running on top of the data in a Blockchain visible to everyone. The concept of Blockchain technology and artificial intelligence techniques together develop interesting uses cases and nice applications. When paired with Blockchains, AI is better understood by humans, operates more efficiently, and the blockchains in general more efficiently. AI and Blockchain together support B2B environment and getting better outcomes.


Author(s):  
Irina Ene

Abstract With disruptive technologies constantly emerging, the impact of artificial intelligence is becoming a relevant topic nowadays. An extensive investment in business intelligence support systems has been recognized as one of the top priorities of most successful managers. However, these constant internal changes of systems and management styles rarely happen smooth and natural, and frequently they trigger serious issues for the companies and its interactions with their customers. Implementations like automated call centers and online payment systems are just mainstream examples which can be used to show the numerous implications of the intrusion of artificial intelligence systems in our everyday life. With the increasing use of various forms of technology, an ongoing discussion has emerged about people's willingness to accept these technological trends. There are, of course, both pro and counter arguments to be discussed. In this article there are presented the results of an eye-tracking experiment about the reaction of consumers towards several forms of artificial intelligence. It has been shown that consumers have the tendency to react more at unexpected situations involving robots and forms of artificial intelligence.


2018 ◽  
Vol 28 ◽  
Author(s):  
Nicolle Lamerichs

Disruptive technologies such as artificial intelligence, robotics, and big data will radically change the interactions and media that fans rely on in their communities. The membership of fandom will also change by the participation of nonhuman entities such as chatbots. New interfaces and technologies will soon create a more data-driven fandom, which I predict will lead to participatory culture being shared with nonhuman entities and to a celebration of creative products created by nonhuman entities.


2022 ◽  
pp. 243-254
Author(s):  
Munyaradzi Zhou ◽  
Cyncia Matsika ◽  
Tinashe Gwendolyn Zhou ◽  
Wilfreda I. Chawarura

COVID-19 and future pandemics drastically change the way of life globally. Research has predominantly focused on the use and integration of disruptive technologies in industry and commerce. Little of the recent studies focused on the implementation of artificial intelligence and blockchain technologies in educational applications. The chapter focuses on how these can be implemented, from development, deployment, use, and maintenance of applications. A computer program's lifespan is usually spent during its use. The qualitative case study was administered using a digital learning platform that provides interactive learning for primary and secondary learners. The disruptive technologies inform new teaching methodologies and the development of student-centered algorithms for learning. Further research includes privacy issues in the implementation of disruptive technologies and data-sharing governance issues and evaluating the effectiveness of artificial intelligence and blockchain-based learning platforms.


Mousaion ◽  
2019 ◽  
Vol 37 (1) ◽  
Author(s):  
Thomas Modiba ◽  
Mpho Ngoepe ◽  
Patrick Ngulube

Disruptive technologies are widely used in semi-periphery and core countries such as the United States of America, Australia, Croatia, and China to manage and preserve records. However, the same cannot be said about periphery countries, especially on the African continent. These countries, including South Africa, are struggling with the digitalisation of records, let alone the management of paper-based records. This study, conducted in the public sector in South Africa, explores literature review to critically analyse challenges to archival functions that can be mitigated through the application of artificial intelligence technologies. Findings reveal problems relating to governance in a digital environment, a lack of accountability, the high level of litigation rates, bad audit results, and a lack of or poor service delivery emanating from a breakdown in records systems in South Africa. Both paper-based and digital records management systems in the public sector in South Africa are in a state of disarray. As a result, the preservation of digital records is slowly taking place, which leads to the loss of memory for the entire public sector. It is concluded that the market is ripe for disruptive technologies such as artificial intelligence, cloud computing and blockchain in the management and preservation of records in the South African public sector. The study recommends that governmental bodies cautiously consider exploring the possibility of storing their records in a trusted digital repository cloud as an interim solution while observing legal obligations. Other technologies such as blockchain technology can also be adopted to ensure the security of records.


2020 ◽  
Vol 24 (02) ◽  
pp. 14-26

The following topics are under this section: Game Changers – Medical Device company leverages on artificial intelligence for robotic surgery Epidemiology of Factors associated with Low Muscle Mass in Elderly Low Glycaemic Index Foods for Healthier Diets Disruptive Technologies in the Tobacco Industry


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