Imagination, Invention and Internet: From Aristotle to Artificial Intelligence and the ‘Post-human’ Development and Ethics

2019 ◽  
pp. 360-371 ◽  
Author(s):  
Qerim Qerimi
Keyword(s):  
Artificial Intelligence ◽  
Human Development

scholarly journals Analisis Tingkat Akurasi Metode Neuro Fuzzy dalam Prediksi Data IPM di NTB

2019 ◽  
Vol 3 (1) ◽  
pp. 58
Author(s):  
Aenul Muhajirah ◽  
Eka Safitri ◽  
Titin Mardiana ◽  
Hartina Hartina ◽  
Andi Setiawan
Keyword(s):  
Artificial Intelligence ◽  
Human Development ◽  
Human Development Index ◽  
Development Index ◽  
Fuzzy Methods ◽  
Neuro Fuzzy ◽  
Forecasting System

Abstrak: Penelitian ini dilakukan untuk menganalisis proses forecasting dalam menentukan tipe terbaik yang digunakan pada sistem peramalan (forecast). Pada penelitian ini data yang digunakan yaitu data IPM Provinsi Nusa Tengara Barat (NTB) tahun 2008-2018 untuk memprediksi data Indeks Pembangunan Manusia (IPM) tahun 2019. Penelitian ini menggunakan metode Artificial Intelligence Neuro Fuzzy yaitu Fuzzy Mamdani dan ANFIS Sugeno yang diterapkan pada Matlab. Adapun tipe yang diuji adalah Trimf, Trapmf, Gbellmf, Gaussmf, Gauss2mf, Sigmf, Dsigmf, Psigmf, dan Primf. Tipe tersebut bertujuan untuk melihat tingkat akurasi berdasarkan hasil error. Hasil peramalan terbaik didapatkan pada tipe Gauss2mf karena menghasilkan prediksi sebesar 69.5 dengan error sebesar 0.95947 dan MAD sebesar 0.530.354, MSE sebesar 1.570035, MAPE sebesar 0.049273. Abstract: This research was conducted to analyze the forecasting process in determining the best type used in the forecasting system. In this study the data used were the data of West Nusa Tenggara Province (HDI) HDI for the years 2008-2018 to predict the 2019 Human Development Index (HDI) data. This study uses Artificial Intelligence Neuro Fuzzy methods namely Fuzzy Mamdani and ANFIS Sugeno applied to Matlab . The types tested were Trimf, Trapmf, Gbellmf, Gaussmf, Gauss2mf, Sigmf, Dsigmf, Psigmf, and Primf. This type aims to see the level of accuracy based on the results of the error. The best forecasting results were obtained on the Gauss2mf type because it produced a prediction of 69.5 with an error of 0.95947 and MAD of 0.530.354, MSE of 1.570035, MAPE of 0.049273.

Artificial Intelligence, Smart Classrooms and Online Education in the 21st Century

2019 ◽  
Vol 21 (3) ◽  
pp. 66-79 ◽  
Author(s):  
Ikedinachi A. P. WOGU ◽  
Sanjay Misra ◽  
Patrick A. Assibong ◽  
Esther Fadeke Olu-Owolabi ◽  
Rytis Maskeliūnas ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Online Education ◽  
Human Development ◽  
21St Century ◽  
Education Sector ◽  
Factor Method ◽  
Ex Post ◽  
The Impact ◽  
Smart Classrooms

The advent of artificial intelligence (AI) technology in the education sector has largely taken over conventional classrooms and revolutionized the way education is conducted to the admiration of many. Other scholars however, believe that such early celebration of AI benefits is unfounded and inimical to the education sector since the adoption of modern AI teaching systems now raises long-term issues about the relevance of teachers and their classrooms in 21st Century AI education. The Marxian Alienation Theory was adopted for the article. The Ex-post factor method and Derrida's critical method of analysis was utilized for attaining the objectives of the article. The article faults recent attempts at eulogizing the impact of AI innovations in the education sector and on human development. Extensive research is proposed as necessary for contemporary scholars of AI and education technologist before proper appropriation can be made about its gains in education and on human development.

scholarly journals Ética e inteligencia artificial. Una discusión jurídica.

2020 ◽  
Vol 6 (2) ◽  
pp. 111-134
Author(s):  
Ramón Darío Valdivia Jiménez
Keyword(s):  
Artificial Intelligence ◽  
Human Development ◽  
Evolutionary Process ◽  
Technological Advance ◽  
Point Of View ◽  
Human Intelligence ◽  
Human Being ◽  
The Social ◽  
The Relationship

Humanity has gone through an evolutionary process based on the advancement of technology created by human intelligence. Currently, the concept of intelligence has detached itself from the corporality of the human being and has the intention of changing it: its models, relationships and convictions. This paper claims the dependence, even symbolic, of that IA to the social archetypes of our weltanchauung. From this point of view, technological advance will generate human development, but they do not yet reach the possibility of substantially changing human being. One of the most important referees that will moderate the constant dialogue between human “physical and artificial intelligence” is Law, which will have the mission of reconciling the relationship between being and what should be. In this relation, I propose three images that serve as a guide for this discussion: the cloud, the wall, and the plague.

Leadership/Followership Interface and the Workplace of the Future

2021 ◽  
pp. 69-80
Author(s):  
Isaac Idowu Abe ◽  
Ethel N. Abe
Keyword(s):  
Artificial Intelligence ◽  
Human Development ◽  
Industry 4.0 ◽  
Social Activities ◽  
Human Interface ◽  
The Future ◽  
The Face ◽  
Technology Concepts

Relationships have been documented to be the hub of employee social activities in the workplace. With the disruptions of Industry 4.0, much value and attention is given to machines and technology. Concepts of leadership and followership held by organizations may no longer hold water to determine the place of man and machines as relational tools in the workplace and to highlight the promotion of values in the man-human interface in the 4IR. The centrality of this chapter will be to determine whether the leadership and followership theories are relevant to organizations in the face of 4IR. In the 4IR, practitioner's attention should be on human development to lead despite technological advancements and the development of artificial intelligence.

scholarly journals Managerial Thinking in a New Reality

2021 ◽  
Vol 15 (2) ◽  
pp. 107-117
Author(s):  
D. V. Kuzin ◽  
I. P. Ponomarev
Keyword(s):  
Artificial Intelligence ◽  
Human Development ◽  
Industry 4.0 ◽  
Large Scale ◽  
Digital Transformation ◽  
Human Consciousness ◽  
Methods And Techniques ◽  
Contemporary Reality ◽  
Management Thinking

The passing year 2020 has turned over a lot in society, economics and business, human behaviour and consciousness. Within a brief period, due to the pandemic situation, we found ourselves in a new reality. Still, we are trying to understand the changes that occurred and how to manage different processes effectively. But even more important is where all these processes will bring us. This very difficult period in human development took place in a completely different economy of impressions, information, knowledge and intelligence. In the framework of the large scale, overwhelming, and promising (however, somewhat controversial) Industry 4.0, we see the development and digital transformation that changed management and managerial thinking. The new fight for human consciousness has extended; methods and techniques of neuro-management, neuromarketing, and artificial intelligence are widely used. The consciousness became the object of influence and manipulation, the key topic in business and politics. This article focuses on several problems of a new quality of management thinking. It suggests and explains the essence and the necessity of hyper thinking as one of the most suitable and valuable approaches to understand and analyze the new contemporary reality and the ongoing processes and approach to education.

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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