scholarly journals FILSAFAT MANUSIA ALI SYARI’ATI: KESADARAN DAN KEBEBASAN MANUSIA DI ERA REVOLUSI TEKNOLOGI 4.0

2020 ◽  
Vol 1 (1) ◽  
pp. 41
Author(s):  
Fitri Cahyanto
Keyword(s):  
Artificial Intelligence ◽  
Critical Analysis ◽  
Ancient Greece ◽  
Human Thought ◽  
Historical Continuity ◽  
Technological Advances ◽  
Letting Go ◽  
Ratio Approach ◽  
Core Part ◽  
Human Awareness

Human philosophy began to be studied rationally since ancient Greece. Now human philosophy is still a field of study that continues to be developed in accordance with the spirit of his era. Ali Syari’ati was a Muslim figure who succeeded in producing human philosophy, by using an empirical ratio approach and not letting go of Islamic dogma. This study attempts to uncover and represent Syari’ati’s philosophical human thought using an historical continuity approach, critical analysis, and description of interpretation. The era of technological advances, everything is fast-paced, especially in the combination of infotek and biotech that is packaged in one big data and the emergence of artificial intelligence that is able to work like humans is even better. In essence, technology is a tool found by humans to become an extension, not to become an authority holder of human will. Technology now takes on the vital task of man, namely human awareness and freedom, a core part of the indicator that humans are fully human. Through human philosophy Ali Syari’ati tried to restore human nature to stay aware and free of himself in making a decision

AI Narratives

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Ancient Greece ◽  
Historical Overview ◽  
Intelligent Machines ◽  
Narrative History ◽  
History Of ◽  
Imaginative Thinking ◽  
The Relationship ◽  
Insight Into

This book is the first to examine the history of imaginative thinking about intelligent machines. As real artificial intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing prehistory of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first centuries in which a greater density of narratives emerged alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI’s social, ethical, and philosophical consequences, including questions of dehumanization, automation, anthropomorphization, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models

2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Business Model ◽  
Value Creation ◽  
Critical Analysis ◽  
Business Models ◽  
Health Conditions ◽  
The World ◽  
The Future

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

scholarly journals From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting

2021 ◽  
Vol 24 (3) ◽  
pp. 1-40
Author(s):  
Mathias-Felipe de-Lima-Santos ◽  
Ramón Salaverría
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Latin American ◽  
Implementation Process ◽  
Media Industry ◽  
Technological Infrastructure ◽  
News Reporting ◽  
Technological Advances ◽  
High Resolution Imagery ◽  
Data Journalism

Journalism is at a radical point of change that requires organizations to come up with new ideas and formats for news reporting. Additionally, the notable surge of data, sensors and technological advances in the mobile segment has brought immeasurable benefits to many fields of journalistic practice (data journalism in particular). Given the relative novelty and complexity of implementing artificial intelligence (AI) in journalism, few areas have managed to deploy tailored AI solutions in the media industry. In this study, through a mixed-method approach that combines both participant observations and interviews, we explain the hurdles and obstacles to deploying computer vision news projects, a subset of AI, in a leading Latin American news organization, the Argentine newspaper La Nación. Our results highlight four broad difficulties in implementing computer vision projects that involve satellite imagery: a lack of high-resolution imagery, the unavailability of technological infrastructure, the absence of qualified personnel to develop such codes, and a lengthy and costly implementation process that requires significant investment. This article concludes with a discussion of the centrality of AI solutions in the hands of big tech corporations.

scholarly journals A critical analysis of the management of craniofacial microsomia

2018 ◽  
Vol 1 (1) ◽  
pp. 65-78
Author(s):  
David John David AC
Keyword(s):  
Distraction Osteogenesis ◽  
Critical Analysis ◽  
Long Term Results ◽  
New Techniques ◽  
Technological Advances ◽  
Craniofacial Microsomia ◽  
New Procedures

Distraction Osteogenesis was introduced into the management of Craniofacial Microsomia some decades ago. It assumed almost instant popularity without evidence of advantage. Poor long-term results and high rates of relapse prove this technique is unsuitable for all but the most carefully selected patients. While innovation and technological advances are to be celebrated, it is vital that new procedures are rigorously tested against current protocols. It is also imperative, that thorough knowledge of disease pathology and pathogenesis are applied against new procedures. It is the view of the author that many painful, useless operations would be avoided if surgeons better understood these key fundamentals. Furthermore, there must be clear guidelines for the introduction of new techniques and devices, and this must happen independently of manufacturers.

scholarly journals The Legal Aspects of Artificial Intelligence based on the EU Experience

Law and World ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. 8-13
Keyword(s):  
Artificial Intelligence ◽  
Legal Framework ◽  
Legal Aspects ◽  
Public And Private ◽  
Legal Questions ◽  
Technological Advances ◽  
Clear Vision ◽  
Routine Tasks ◽  
The One ◽  
The Eu

In the digital era, technological advances have brought innovative opportunities. Artificial intelligence is a real instrument to provide automatic routine tasks in different fields (healthcare, education, the justice system, foreign and security policies, etc.). AI is evolving very fast. More precisely, robots as re-programmable multi-purpose devices designed for the handling of materials and tools for the processing of parts or specialized devices utilizing varying programmed movements to complete a variety of tasks.1 Regardless of opportunities, artificial intelligence may pose some risks and challenges for us. Because of the nature of AI ethical and legal questions can be pondered especially in terms of protecting human rights. The power of artificial intelligence means using it more effectively in the process of analyzing big data than a human being. On the one hand, it causes loss of traditional jobs and, on the other hand, it promotes the creation of digital equivalents of workers with automatic routine task capabilities. “Artificial intelligence must serve people, and therefore artificial intelligence must always comply with people’s rights,” said Ursula von der Leyen, President of the European Commission.2 The EU has a clear vision of the development of the legal framework for AI. In the light of the above, the article aims to explore the legal aspects of artificial intelligence based on the European experience. Furthermore, it is essential in the context of Georgia’s European integration. Analyzing legal approaches of the EU will promote an approximation of the Georgian legislation to the EU standards in this field. Also, it will facilitate to define AI’s role in the effective digital transformation of public and private sectors in Georgia.

Information Technology in the Search for Employment

2021 ◽  
pp. 252-267
Author(s):  
Pablo Chamoso ◽  
Alfonso González-Briones ◽  
Fancisco José García-Peñalvo
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Information Processing ◽  
State Of The Art ◽  
Developed Countries ◽  
Search Results ◽  
Technological Advances ◽  
Career Opportunities ◽  
Job Opportunities

Employability is one of the main concerns of the citizens of developed countries. Over the last 10 years, it has become popular to use technology to find employment and better career opportunities. Currently, there are many technology-powered tools available which offer their users (candidates and companies) the possibility of finding the best job opportunities/employees. However, technology is becoming increasingly advanced and current employment-oriented websites must keep up with those standards. Thanks to the computing and information processing capabilities provided by artificial intelligence, today's websites are not mere directories of jobs and candidates; instead, they make it possible to automatically filter search results according to the characteristics of candidates and jobs. This chapter presents a review of state-of-the-art technologies aimed at improving employability and analyzes the technological advances in this sector.

Rethinking Software Protection

2021 ◽  
pp. 341-362
Author(s):  
Peter R Slowinski
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Evolutionary Algorithms ◽  
Future Development ◽  
Computer Programs ◽  
Software Protection ◽  
Computing Power ◽  
The Core ◽  
Quantum Leap ◽  
Core Part

The core of artificial intelligence (AI) applications is software of one sort or another. But while available data and computing power are important for the recent quantum leap in AI, there would not be any AI without computer programs or software. Therefore, the rise in importance of AI forces us to take—once again—a closer look at software protection through intellectual property (IP) rights, but it also offers us a chance to rethink this protection, and while perhaps not undoing the mistakes of the past, at least to adapt the protection so as not to increase the dysfunctionality that we have come to see in this area of law in recent decades. To be able to establish the best possible way to protect—or not to protect—the software in AI applications, this chapter starts with a short technical description of what AI is, with readers referred to other chapters in this book for a deeper analysis. It continues by identifying those parts of AI applications that constitute software to which legal software protection regimes may be applicable, before outlining those protection regimes, namely copyright and patents. The core part of the chapter analyses potential issues regarding software protection with respect to AI using specific examples from the fields of evolutionary algorithms and of machine learning. Finally, the chapter draws some conclusions regarding the future development of IP regimes with respect to AI.

An artificial-intelligence-based method for assessing service quality: insights from the prosthodontics sector

2020 ◽  
Vol 31 (2) ◽  
pp. 291-312 ◽  
Author(s):  
Sara M. Martins ◽  
Fernando A.F. Ferreira ◽  
João J. M. Ferreira ◽  
Carla S.E. Marques
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Service Quality ◽  
Cognitive Mapping ◽  
Evaluation Model ◽  
Vice President ◽  
Dental Prosthesis ◽  
Content Type ◽  
Technological Advances ◽  
Definition Of

PurposeThe prosthodontics sector is facing major challenges because of scientific and technological advances that imply a clearer definition of lines of action and decision making processes. Measuring quality of service in this sector is a complex decision problem since the perceptions of three main players need to be considered: patients, dentists and dental technicians. This study sought to develop an artificial-intelligence-based (AI-based) method for assessing service quality in the dental prosthesis sector.Design/methodology/approachUsing strategic options development and analysis (SODA), which is grounded on cognitive mapping, and the measuring attractiveness by a categorical based evaluation technique (MACBETH), a constructivist decision support system was designed to facilitate the assessment of service quality in the dental prosthesis sector. The system was tested, and the results were validated both by the members of an expert panel and by the vice-president of the Portuguese association of dental prosthesis technicians.FindingsThe methodological process developed in this study is extremely versatile and its practical application facilitated the development of an empirically robust evaluation model in this study context. Specifically, the profile analyses carried out in actual clinics allowed the cases in which improvements are needed to be identified.Originality/valueAlthough already applied in the fields of AI and decision making, no prior work reporting the use of SODA and MACBETH for assessing service quality in the prosthodontics sector has been found.

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