Algorithmic Audience in the Age of Artificial Intelligence: Tailored Communication, Information Cocoons, Algorithmic Literacy, and News Literacy, Roselyn Du
Описание: This book is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through artificial intelligence, as well as the challenges and path ahead for AI in computing and control across different domains of business and human life.
Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.
This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects.
Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities.
RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models.
At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies.
Описание: This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation and Ontologies, and Multi-agent Systems.
Автор: Christian Czarnecki, Peter Fettke Название: Robotic Process Automation: Management, Technology, Applications ISBN: 3110676680 ISBN-13(EAN): 9783110676686 Издательство: Walter de Gruyter Рейтинг: Цена: 8731.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects.
Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities.
RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models.
At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies.
Описание: This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation and Ontologies, and Multi-agent Systems.
Living in a post-truth world during an era of information wars, making sense of events is increasingly challenging for everyone. The fact that today’s politics has found many retreating to ideologically “safe” spaces online where their world view is not contested makes the need for news and information literacy more significant. A contemporary world where disinformation and propaganda lead to a distrust of news sources calls for a new way to approach information and news literacy. Digital technology has seemingly made information and news easier to access, but it has also made sorting quality from nonsense a challenge.
This book presents a different approach to news and information literacy which uses a flipped classroom method to create a student-centered learning experience. The course is guided by the educational philosophy of Paulo Freire and draws on theory and research from psychology, education and news and information literacy. The course begins with an exercise which reveals the role confirmation bias plays in how students judge the adequacy of news and information they retrieve through online search. The course engenders greater confidence in mastering the pitfalls of the Internet as students emerge empowered with self-knowledge as well as a better understanding of the Internet.
The book is relevant for news, information and media literacy teachers, especially at the secondary and collegiate levels, curriculum specialists, continuing and adult education specialists and anyone who wants to better understand how we process news and information in the digital age.
Описание: This book explores the complex ways in which algorithms and big data are reshaping everyday culture, while at the same time perpetuating inequality and intersectional discrimination. It situates issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity.
Living in a post-truth world during an era of information wars, making sense of events is increasingly challenging for everyone. The fact that today’s politics has found many retreating to ideologically “safe” spaces online where their world view is not contested makes the need for news and information literacy more significant. A contemporary world where disinformation and propaganda lead to a distrust of news sources calls for a new way to approach information and news literacy. Digital technology has seemingly made information and news easier to access, but it has also made sorting quality from nonsense a challenge.
This book presents a different approach to news and information literacy which uses a flipped classroom method to create a student-centered learning experience. The course is guided by the educational philosophy of Paulo Freire and draws on theory and research from psychology, education and news and information literacy. The course begins with an exercise which reveals the role confirmation bias plays in how students judge the adequacy of news and information they retrieve through online search. The course engenders greater confidence in mastering the pitfalls of the Internet as students emerge empowered with self-knowledge as well as a better understanding of the Internet.
The book is relevant for news, information and media literacy teachers, especially at the secondary and collegiate levels, curriculum specialists, continuing and adult education specialists and anyone who wants to better understand how we process news and information in the digital age.
Описание: People have long told machines what to do by pushing buttons. Now, with advances in technology, machines are pushing our buttons.
In Artificial Intimacy, evolutionary biologist Rob Brooks takes us from the origins of human behaviour to the latest in artificially intelligent technologies, providing a fresh and original view of the very near future of human relationships.
Sex dollbots, digital lovers, virtual friends and algorithmic matchmakers help us manage our feelings in a world of cognitive overload. Apps can sense when a user is falling in love, when they are fighting, and when they are likely to break up. These machines, the ‘artificial intimacies’, already learn and exploit human social needs. They are getting better and faster at what they do.
How will humanity’s future unfold when our ancient, evolved minds and old-fashioned cultures collide with twenty-first-century technology?
Описание: This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems – vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds).Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations as collective enterprises, and interconnected systems as risk pools – and by developing corresponding liability rules.The book relies on a unique combination of information technology studies, sociological institution and risk analysis, and comparative law. This approach uncovers recursive relations between types of machine behaviour, emergent socio-digital institutions, their concomitant risks, legal conditions of liability rules, and ascription of legal status to the algorithms involved.
Описание: This proceedings of the Ray Solomonoff 85th memorial conference, presents 35 papers on universal Bayesian prediction and artificial intelligence (machine learning). A tribute to Solomonoff`s work, which influences modern data mining, econometrics and more.
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