scholarly journals Introductory Chapter: Artificial Intelligence - Latest Advances, New Paradigms and Novel Applications

2021 ◽  
Author(s):  
Esther Villar ◽  
Eneko Osaba ◽  
Jesus L. Lobo ◽  
Ibai Laña
Keyword(s):  
Artificial Intelligence ◽  
Novel Applications

When Technology Meets Finance

2021 ◽  
pp. 1-21
Author(s):  
Yousif Abdullatif Albastaki
Keyword(s):  
Artificial Intelligence ◽  
Financial Institutions ◽  
Financial Services ◽  
Major Part ◽  
The Internet ◽  
Financial Industry ◽  
Digital Innovation ◽  
Customer Expectations ◽  
The Internet Of Things

There is a paradigm shift in the financial services industry. Combined with ever-changing customer expectations and preferences, emerging technologies such as artificial intelligence (AI), machine learning, the internet of things (IoT), and blockchain are redefining how financial institutions deliver services. It is an enormous task to remain competitive in this ever-changing environment. Financial institutions see FinTech as a major part of the digital future, and as proof of this, since 2015, financial institutions have invested over US$ 27 billion in FinTech and digital innovation. This chapter is an introductory chapter that explores FinTech in the literature. It focuses on how FinTech is reshaping the financial industry by describing FinTech phases and development process. The financial products and services using FinTech are also described with a highlight on Islamic FinTech. The chapter finally concludes by describing the future of FinTech.

Roadmap to Artificial Intelligence and Intellectual PropertyAn Introduction

2021 ◽  
pp. 1-8
Author(s):  
Jyh-An Lee ◽  
Reto M Hilty ◽  
Kung-Chung Liu
Keyword(s):  
Artificial Intelligence ◽  
Intellectual Property ◽  
Driving Force ◽  
Human Beings ◽  
Legal Subjects ◽  
Human Intellect ◽  
Ip Law ◽  
Creativity And Innovation ◽  
The Relationship

This introductory chapter provides an overview of the relationship between artificial intelligence (AI) and intellectual property (IP). While human beings have used various instruments and technologies to create and innovate, they themselves have been the main driving force of creativity and innovation. AI puts that into question, raising numerous challenges to the existing IP regime. Traditionally, the “intellectual” part of “intellectual property” refers to human intellect. However, since machines have become intelligent and are increasingly capable of making creative, innovative choices based on opaque algorithms, the “intellectual” in “intellectual property” turns out to be perplexing. Existing human-centric IP regimes based on promoting incentives and avoiding disincentives may no longer be relevant—or even positively detrimental—if AI comes into play. Moreover, AI has sparked new issues in IP law regarding legal subjects, scope, standards of protection, exceptions, and relationships between actors.

Introduction

2012 ◽  
Author(s):  
John O. McGinnis
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Information Age ◽  
Modern Technology ◽  
Weapons Of Mass Destruction ◽  
Mass Destruction ◽  
Information Markets ◽  
The Social ◽  
Political Problem

This introductory chapter analyzes the central political problem of our time, namely how to adapt democracy to the acceleration of the information age. Modern technology creates a supply of new tools for improved governance, but it also creates an urgent demand for putting these tools to use. We need better policies to obtain the benefits of innovation as quickly as possible and to manage the social problems that speedier innovation will inevitably create—from pollution to weapons of mass destruction. Our task is to place politics progressively within the domain of information technology—to use its new or enhanced tools, such as empiricism, information markets, dispersed media, and artificial intelligence, to reinvent governance. An overview of the subsequent chapters is also presented.

scholarly journals Special Issue on AISAT 2009 - Selected Papers

2010 ◽  
Vol 14 (6) ◽  
pp. 683-683
Author(s):  
Michael Negnevitsky
Keyword(s):  
Artificial Intelligence ◽  
International Workshop ◽  
Science And Technology ◽  
Special Issue ◽  
Practical Applications ◽  
Technical Content ◽  
The Us ◽  
Scientists And Engineers ◽  
Novel Applications ◽  
Review Criteria

Artificial Intelligence (AI) is the key to success in novel applications ranging from robotics to speech- and image-recognition systems, and from stock forecast investment systems to informal communication between robots and humans. The last two decades have seen AIfs focus shift from philosophical arguments to practical applications in both science and technology. AI researchers and educators have simultaneously recognized mutual commonality in their work and have initiated much-needed multidisciplinary approaches to AI. Guest Editor, Michael Negnevitsky, organized the 3rd International Workshop on Artificial Intelligence in Science and Technology (AISAT 2009) in Hobart, Tasmania, Australia last year, bringing together a globally diverse group of scientists and engineers to discuss issues related to practical AI applications in science and technology. The workshop featured presentations from the US, Japan, Malaysia, Spain, Kuwait, and Australia. All papers were peer reviewed by two experts for technical content, contribution, and originality to ensure high presentation quality. Fewer than 30% of submissions were accepted for presentation at the Workshop. Authors of the most outstanding presentations at AISAT 2009 were encouraged to submit manuscripts to this special issue, whose papers present innovative approaches and promising practical applications for AI. Submissions were reviewed for relevance, originality, significance, and presentation based on JACIII review criteria. We are sure that readers will find these papers both interesting and inspiring. We hope also that they will motivate researchers to expand their studies on AI applications in science and technology.

Parallel Worlds

2017 ◽  
Author(s):  
Jad Smith
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Thought Experiments ◽  
Human Experience ◽  
Good Science ◽  
Parallel Forms ◽  
Chess Game ◽  
John Brunner ◽  
The City

This introductory chapter discusses the metaphor of parallel worlds as it relates to the work of John Brunner. Brunner once observed that while we all inhabit the same world, we live in and among parallel worlds. He believed that a good science-fiction writer should cultivate awareness of parallel forms of experience and open up vistas onto the future that make readers more mindful of them. In keeping with this view, he developed plots with an eye toward the possible interplay of parallel worlds, imagining zones of contact as native to human experience as the tense friendship of the WASP and “Afram” roomies Donald Hogan and Norman House in Stand on Zanzibar (1968), and as foreign to it as the alternate ecology and symbiotic biotechnologies of The Crucible of Time (1983). Throughout his career, he made a practice of conducting idiosyncratic “thought experiments” in his fiction. These ranged from mirroring the moves of a famous 1892 Steinitz-Chigorin chess game in the plot of The Squares of the City (1965) to exploring the ethical quandaries of artificial intelligence through the grafted consciousness of a sentient spaceship in A Maze of Stars (1991). Time and again, Brunner proved himself an idea merchant of the first and best order. His narrative ventures often brought together parallel genres just as dynamically as parallel worlds, and he enjoyed a lasting reputation for handling even conventional storylines and concepts with an alluring difference that made them distinct—and distinctly his.

Agora

2021 ◽  
Vol 49 (4) ◽  
pp. 6-11
Author(s):  
Jonas Traub ◽  
Zoi Kaoudi ◽  
Jorge-Arnulfo Quiané-Ruiz ◽  
Volker Markl
Keyword(s):  
Artificial Intelligence ◽  
Data Management ◽  
Domain Knowledge ◽  
Data Science ◽  
Dynamic Environment ◽  
Fine Grained ◽  
Computational Resources ◽  
Diverse Data ◽  
Novel Applications ◽  
Lock In

Data science and artificial intelligence are driven by a plethora of diverse data-related assets, including datasets, data streams, algorithms, processing software, compute resources, and domain knowledge. As providing all these assets requires a huge investment, data science and artificial intelligence technologies are currently dominated by a small number of providers who can afford these investments. This leads to lock-in effects and hinders features that require a flexible exchange of assets among users. In this paper, we introduce Agora, our vision towards a unified ecosystem that brings together data, algorithms, models, and computational resources and provides them to a broad audience. Agora (i) treats assets as first-class citizens and leverages a fine-grained exchange of assets, (ii) allows for combining assets to novel applications, and (iii) flexibly executes such applications on available resources. As a result, it enables easy creation and composition of data science pipelines as well as their scalable execution. In contrast to existing data management systems, Agora operates in a heavily decentralized and dynamic environment: Data, algorithms, and even compute resources are dynamically created, modified, and removed by different stakeholders. Agora presents novel research directions for the data management community as a whole: It requires to combine our traditional expertise in scalable data processing and management with infrastructure provisioning as well as economic and application aspects of data, algorithms, and infrastructure.

scholarly journals Introduction

2021 ◽  
pp. 1-5
Author(s):  
Bernd Carsten Stahl
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Ethical Issues ◽  
Mitigation Measures ◽  
Main Argument ◽  
Human Flourishing ◽  
Ethical Approach ◽  
Rights Issues

AbstractThe introductory chapter describes the motivation behind this book and provides a brief outline of the main argument. The book offers a novel categorisation of artificial intelligence that lends itself to a classification of ethical and human rights issues raised by AI technologies. It offers an ethical approach based on the concept of human flourishing. Following a review of currently discussed ways of addressing and mitigating ethical issues, the book analyses the metaphor of AI ecosystems. Taking the ecosystems metaphor seriously allows the identification of requirements that mitigation measures need to fulfil. On the basis of these requirements the book offers a set of recommendations that allow AI ecosystems to be shaped in ways that promote human flourishing.

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