China
Africa
Explore chapters and articles related to this topic
The Buribunks, post-truth and a tentative cartography of informational existence
Published in Kieran Tranter, Edwin Bikundo, The Buribunks, 2022
The first transition zone is the unknowing, uncaring or compulsory leaving of data through triggering a surveillance point of the digital.38 The site of doing by the human is irrelevant. This generating of data can occur by walking down a CTV-enhanced path, scanning a ticket at a public transport booth, engaging with an Internet of Things (IoT), GPS or cellular-enabled device, or actively interacting with the infosphere by googling.39 In a ‘sensor society’,40 questions of will and wilfulness are irrelevant. Often, depositing data is the cost of participation. This can be as simple as the price of walking or driving in public,41 knowing that images of self and vehicles will be recorded. It can be as subtle as the unobtrusive recording of search histories by search engines or as obvious as the brutal requirement that valid data are entered in all fields before a transaction can be progressed.
Security, integrity, and privacy of cloud computing and big data
Published in Muhammad Imran Tariq, Valentina Emilia Balas, Shahzadi Tayyaba, Security and Privacy Trends in Cloud Computing and Big Data, 2022
Muhammad Salman Mushtaq, Muhammad Yousaf Mushtaq, Muhammad Waseem Iqbal, Syed Aamer Hussain
Kafka, used as the kernel for data streams, is originally a publish–subscribe messaging service. Architecturally it is a distributed system designed for streams, built with fault tolerance, high bandwidth, scalability and capability of geographically spread data streams and processing [20]. Kafka also implements queues to optimize the control and processing of data streams evading asynchronism in processing speed between data production and handling [21]. Amazon Kinesis also serves as a distributed data stream for real-time data. It can unceasingly acquire and stock a massive amount of data from multiple sources including website clickstreams, financial communications, social media sources, and location tracking services [18]. IBM Infosphere streams also have the capability of acquiring data from a large number of real-time sources with high throughput [22]. Additionally, Scribe, and Time Tunnel are also used for data streaming [23,24].
Feedback mechanism for digital technology use in enterprise strategies
Published in Ford Lumban Gaol, Natalia Filimonova, Irina Frolova, Ignatova Tatiana Vladimirovna, Inclusive Development of Society, 2020
L. Goncharenko, E. Sharko, S. Sybachin, M. Khachaturyan, Z. Prokopenko
Close to the concept of “media space” are the concepts of “information space,” “information and communication space,” and “hyper-reality.” E. Toffler introduced the concept of infonoosphere (authors’ comment: “integration of information, digital, technological, and intellectual spheres of human activity”)—a transitional stage on the route to transformation of society in future civilizations, from the technogenesis (authors’ comment: “the process of transformation of the environment influenced by various types of human technical activities”) before anthropogenesis of a human civilization (Toffler, 2004). A. Sokhatskaya marks out three options of information space: a cyberspace, an infosphere, and a noosphere; at the same time the noosphere unites all three spaces (Sokhatskaya, 2012). We suggest considering the concept “media space” as the closest, as it is synonymous with the concept “noosphere.”
AI’s Humanoid Appearance Can Affect Human Perceptions of Its Emotional Capability: Evidence from Self-Reported Data in the U.S
Published in International Journal of Human–Computer Interaction, 2023
Quan-Hoang Vuong, Viet-Phuong La, Minh-Hoang Nguyen, Ruining Jin, Minh-Khanh La, Tam-Tri Le
Artificial intelligence (AI) is becoming more integrated into modern human society. With the rapid advancement of information technology, the infosphere around us has become increasingly huge and complex. It is suggested that the impacts of information and communication technologies have greatly transformed the information structure of human society (Floridi, 2014). However, because of the power of such technological advancements, information overload is now a significant problem in this digital era (Andrejevic, 2013; Blair, 2017). Large-scale decision-making processes, such as in dealing with healthcare crises during the COVID-19 pandemic, have shown how information management related to big data is crucial, especially regarding the use of AI and automation systems of information processing (Vuong et al., 2021; Vuong, Le, et al., 2022). On the side of individuals, interestingly, many have found effective emotional support provided by AI companions, particularly when under psychological pressure from life events (Jiang et al., 2022; Pentina et al., 2023). Is our current understanding of the human-AI interaction sufficient for tackling the inevitable problems incoming as humanity continues to incorporate more advanced AI into society?
Improving Agents Trust in Service-Oriented Environment Based on Entropy Structure and Information Ethics Principles
Published in International Journal of Human–Computer Interaction, 2022
Amir Khoshkbarchi, Hamid Reza Shahriari
Information Ethics (IE) theory, developed by L. Floridi provides a fine set of such philosophical ideas and notions. In Floridi (2006), he describes a pure informational view of world where every entity is represented by its informational embodiment. Such a world is referred to as the” infosphere.” Intelligent agents in the infosphere are called “inforgs”—informational organisms—in accordance with real world living entities—“organisms.” This notion puts human intelligence, machine intelligence and hybrid human-machine intelligence in a unified category that paves the way for many interesting deep insights in computer science. Floridi (2013) elaborates on these pure informational ideas and gives a novel informational notion of morality and ethics for inforgs in the infosphere. He especially provides a quantitative measure of moral/immoral actions of inforgs based on a specific interpretation of information entropy: any action that causes an increase of entropy in the infosphere is considered as immoral and any action decreasing the entropy is considered as moral. The entropy, in this theory, is broadly considered as an indicator of the amount of disorder in an informational system (Floridi, 1999). Then, utilizing this morality measure, he argues the existence of an ontic trust among inforgs in the infosphere (Floridi, 1999).
Securing IoT devices in smart cities of India: from ethical and enterprise information system management perspective
Published in Enterprise Information Systems, 2021
Sheshadri Chatterjee, Arpan Kumar Kar, Syed Ziaul Mustafa
The citizens of SCI are expected to use many devices for their daily use depending on contribution of ICT, especially with the help of IoT devices. Hence, for achieving smooth and reliable outputs from these devices, security of IoT-enabled devices against threat of PAA has become essential (Winter 2015). Now, IoT, M2M communication, Artificial intelligence are called ‘embedded infosphere’ when considered collectively (Taylor 2016). This infosphere poses ethical threat since it would generate many types of new data. This is because that innumerable everyday objects are embedded with sensors producing huge data. These data are necessary for operational as well as for business functions (Davenport, Barth, and Bean 2012). The data are anonymised for ensuring privacy. anonymised data can be re-personalised by the help of appropriate data mining technique. Hence, there is need of appropriate data governance for preservation of PAA (Rosenbaum 2010; Schwartz and Solove 2011).