From Decline of the West to Dawn of Day

Janus Head ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 53-66
Author(s):  
Hub Zwart ◽  
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Science And Religion ◽  
Natural Sciences ◽  
The Novel ◽  
Human Beings ◽  
Cultural Significance ◽  
Religion And Science ◽  
The West ◽  
Smart Technologies

This paper subjects Dan Brown’s most recent novel Origin to a philosophical reading. Origin is regarded as a literary window into contemporary technoscience, inviting us to explore its transformative momentum and disruptive impact, focusing on the cultural significance of artificial intelligence and computer science: on the way in which established world-views are challenged by the incessant wave of scientific discoveries made possible by super-computation. While initially focusing on the tension between science and religion, the novel’s attention gradually shifts to the increased dependence of human beings on smart technologies and artificial (or even “synthetic”) intelligence. Origin’s message, I will argue, reverberates with Oswald Spengler’s The Decline of the West, which aims to outline a morphology of world civilizations. Although the novel starts with a series of oppositions, most notably between religion and science, the eventual tendency is towards convergence, synthesis and sublation, exemplified by Sagrada Família as a monumental symptom of this transition. Three instances of convergence will be highlighted, namely the convergence between science and religion, between humanity and technology and between the natural sciences and the humanities.

scholarly journals Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

2021 ◽  
Vol 12 ◽  
Author(s):  
Kimberly Stowers ◽  
Lisa L. Brady ◽  
Christopher MacLellan ◽  
Ryan Wohleber ◽  
Eduardo Salas
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
The State ◽  
Team Science ◽  
Extant Literature ◽  
State Of The Science

In response to calls for research to improve human-machine teaming (HMT), we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging artificial intelligence (AI) capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.

scholarly journals Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Stroberi Menggunakan Metode Certainty Factor Berbasis Web

Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Science ◽  
Programming Language ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Factor Method ◽  
System Database ◽  
And Behavior

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.

scholarly journals A review of Elizabeth Wilson's Affect and artificial intelligence

2020 ◽  
Author(s):  
Tung Manh Ho
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Affective Computing ◽  
Biographical Data ◽  
History Of

Wilson’s book is of great interest to readers of the biographical history of computer science and, more importantly, humanities scholars who would like to explore how emotions influence the works of early pioneers amongst AI theoreticians and engineers. However, I present three areas where the book can improve: engaging with affective computing, acculturation of emotion, and organization of biographical data.

Artificial Intelligence in Education (AIEd): from Applied Problems of Informatization to Studying a Topic in a Computer Science Course

2021 ◽  
pp. 10-24
Author(s):  
N. Samylkina ◽  
A. Salahova
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Computer Science ◽  
Educational Tools ◽  
Artificial Intelligence In Education ◽  
School Computer

The article provides an overview of two main possibilities of using artificial intelligence in education: as new educational tools and as the development of the theoretical and practical foundations of artificial intelligence in the school computer science course. A comparison of approaches to the use in education and the study of artificial intelligence issues at the level of secondary general education in different countries is given. The development of the topic at all levels of general education is considered.

Applications of AI in Financial System

2017 ◽  
pp. 101-109
Author(s):  
Santosh Kumar ◽  
Roopali Sharma
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Decision Analysis ◽  
Computer Science ◽  
Investment Decision ◽  
Analysis Tool ◽  
Changing Environment ◽  
Human Interference ◽  
Applications Of Ai

Role of computers are widely accepted and well known in the domain of Finance. Artificial Intelligence(AI) methods are extensively used in field of computer science for providing solution of unpredictable event in a frequent changing environment with utilization of neural network. Professionals are using AI framework into every field for reducing human interference to get better result from few decades. The main objective of the chapter is to point out the techniques of AI utilized in field of finance in broader perspective. The purpose of this chapter is to analyze the background of AI in finance and its role in Finance Market mainly as investment decision analysis tool.

AI as a Legal Person?

2021 ◽  
pp. 419-440
Author(s):  
Eliza Mik
Keyword(s):  
Artificial Intelligence ◽  
Intellectual Property ◽  
Computer Science ◽  
Legal Person ◽  
Property Law ◽  
Popular Press ◽  
Intellectual Property Law ◽  
Legal Personhood ◽  
Exponential Increase ◽  
Technical Terms

Cyclical advancements in artificial intelligence (AI) are usually accompanied by theories advocating the granting of legal personhood to sophisticated, autonomous computers. This chapter criticizes such theories as incorrect—a possible result of legal scholars being seduced by incomprehensible technical terminology, sensationalistic stories in the popular press, and ‘creative’ photo filters that transform our faces into animals. Discussions as to when computers should be recognized as persons are, logically, outside of the scope of intellectual property law. The granting of legal personhood is not premised on the existence of consciousness, intelligence, or creativity. Recognizing an entity as a legal person is a normative choice dictated by commercial expediency, not the result of fulfilling any technical criteria. While it is necessary to acknowledge the blurring of borders between art and (computer) science, as well as the increase in the technological sophistication of the tools used by authors and inventors, it is also necessary to state that even an exponential increase in ‘computer creativity’ will not sever the link between the computer and its user. Before discarding the idea of legal personhood for ‘creative algorithms’ once and for all, the chapter explores the relationships between autonomy and creativity. In particular, it places technical terms such as ‘AI’ and ‘autonomy’ in their original context and criticizes uninformed attempts to imbue them with normative connotations.

Conclusion

2021 ◽  
pp. 127-132
Author(s):  
Simone Natale
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Computer Science ◽  
Interface Design ◽  
External World ◽  
The Social ◽  
Social Meanings ◽  
Computer Scientists ◽  
Historical Trajectory

The historical trajectory examined in this book demonstrates that humans’ reactions to machines that are programmed to simulate intelligent behaviors represent a constitutive element of what is commonly called AI. Artificial intelligence technologies are not just designed to interact with human users: they are designed to fit specific characteristics of the ways users perceive and navigate the external world. Communicative AI becomes more effective not only by evolving from a technical standpoint but also by profiting, through the dynamics of banal deception, from the social meanings humans project onto situations and things. In this conclusion, the risks and problems related to AI’s banal deception are explored in relationship with other AI-based technologies such as robotics and social media bots. A call is made for initiating a more serious debate about the role of deception in interface design and computer science. The book concludes with a reflection on the need to develop a critical and skeptical stance in interactions with computing technologies and AI. In order not to be found unprepared for the challenges posed by AI, computer scientists, software developers, designers as well as users have to consider and critically interrogate the potential outcomes of banal deception.

scholarly journals Reports on the 2017 AAAI Spring Symposium Series

AI Magazine ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 99-106
Author(s):  
Jeannette Bohg ◽  
Xavier Boix ◽  
Nancy Chang ◽  
Elizabeth F. Churchill ◽  
Vivian Chu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Science ◽  
User Experience ◽  
Object Perception ◽  
Learning Systems ◽  
Language Understanding ◽  
Social Good ◽  
Symposium Series ◽  
The Social

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2017 Spring Symposium Series, held Monday through Wednesday, March 27–29, 2017 on the campus of Stanford University. The eight symposia held were Artificial Intelligence for the Social Good (SS-17-01); Computational Construction Grammar and Natural Language Understanding (SS-17-02); Computational Context: Why It's Important, What It Means, and Can It Be Computed? (SS-17-03); Designing the User Experience of Machine Learning Systems (SS-17-04); Interactive Multisensory Object Perception for Embodied Agents (SS-17-05); Learning from Observation of Humans (SS-17-06); Science of Intelligence: Computational Principles of Natural and Artificial Intelligence (SS-17-07); and Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing (SS-17-08). This report, compiled from organizers of the symposia, summarizes the research that took place.

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