Birth of Intelligence

2020 ◽  
Author(s):  
Daeyeol Lee
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Rapid Expansion ◽  
Human Intelligence ◽  
The Future ◽  
Future Society ◽  
High Level

What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is artificial intelligence (AI) fundamentally different from human intelligence? Rapid expansion of AI applications has made these questions pressing. To better prepare for the future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision-making and intelligent behaviors, this book proposes that true intelligence requires life.

Artificial Intelligence, Human Intelligence, and Orientism Management Framework

2021 ◽  
pp. 1-30
Author(s):  
Luisa Dall'Acqua
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Makers ◽  
Human Intelligence ◽  
Decision Making Process ◽  
Knowledge Process ◽  
Management Framework ◽  
Theoretical Contribution ◽  
Practical Guideline

The chapter intends to be a theoretical contribution for developers in the field of artificial intelligence. It also means a practical guideline for leaders, as decision-makers, to manage tasks and optimize performance. The proposed approach interprets the fluid nature of the decision-making process looking at knowledge and knowledge activities as dynamic, adaptive, and self-regulative, based not only on well-known explicit curricular goals but also on unpredictable interactions and relationships between players. The knowledge process is emerging in human and biological, social, and cultural environments.

Closing Thoughts

2021 ◽  
pp. 252-280
Keyword(s):  
Artificial Intelligence ◽  
Global Scale ◽  
Mental Capacity ◽  
Human Potential ◽  
Social Implications ◽  
Modern World ◽  
The Future ◽  
Future Society

In this chapter, the authors present final observations and concluding thoughts about the future social implications of artificial intelligence (AI). One of the major reasons why humans stand out from other creatures is because of our mental capacity and demonstration of intelligence. However, AI has the potential to eclipse human potential with the same and potentially greater capacity as it matures towards ‘general' and ‘super' intelligence. However, the immediate challenge remains our capacity to feel safe with AI innovations and to have faith in their capacity to conduct themselves without prejudice, to eliminate any mistakes, and to conduct themselves in an equitable manner. It is expected that humanity will have a better understanding of what principles of awareness and aptitude are. Thankfully, these are issues with a lot of relevance in the modern world; the opportunity to develop an AI future society with positive benefits is achievable – if we act collectively and multi-laterally on a global scale.

Conclusion

2020 ◽  
pp. 201-206
Author(s):  
Daeyeol Lee
Keyword(s):  
Human Activity ◽  
Artificial Life ◽  
Life Form ◽  
Human Intelligence ◽  
The Future ◽  
Future Society ◽  
The Difference ◽  
Self Replication

To better prepare for the future society in which artificial intelligences (AI) will have much more pervasive influence on our lives, a better understanding of the difference between AI and human intelligence is necessary. Human and biological intelligence cannot be separated from the process of self-replication. Therefore, a fundamental gap exists between human intelligence and AI until AI acquires artificial life. Humans’ social and metacognitive intelligence most clearly distinguish human intelligence from nonhuman intelligence. Although advances are likely to improve the functioning of AI, AI will remain a function of human activity. However, if AI can learn to self-replicate and thus become a life form, albeit a man-made one, outcomes become uncertain.

Artificial Intelligence

2021 ◽  
pp. 325-334
Author(s):  
Laszlo Solymar
Keyword(s):  
Artificial Intelligence ◽  
Human Intelligence ◽  
Autonomous Cars ◽  
Driverless Cars ◽  
The Future ◽  
The Moment

The claims of artificial intelligence are criticized. Most of the claims are regarded as hype or simple examples of automation. The progress of machines in playing games and beating world champions is described, but the artificial intelligence is still thought not to represent human intelligence. It is concluded that the programs are intelligent but not the machines. A 1921 play by Capek coining the word and introducing the modern interpretation of robots is analysed. Examples of robots and of virtual assistants in service at the moment are provided. The future of driverless cars is discussed, and it is concluded that fully autonomous cars are still many decades, rather than years, away.

scholarly journals Criminal Liability of the Artificial Intelligence

2020 ◽  
Vol 159 ◽  
pp. 04025
Author(s):  
Danila Kirpichnikov ◽  
Albert Pavlyuk ◽  
Yulia Grebneva ◽  
Hilary Okagbue
Keyword(s):  
Artificial Intelligence ◽  
Criminal Liability ◽  
Human Intelligence ◽  
Coercive Measures ◽  
Self Development ◽  
The Future ◽  
Almost All ◽  
Self Learning ◽  
New Formation

Today, artificial intelligence (hereinafter – AI) becomes an integral part of almost all branches of science. The ability of AI to self-learning and self-development are properties that allow this new formation to compete with the human intelligence and perform actions that put it on a par with humans. In this regard, the author aims to determine whether it is possible to apply criminal liability to AI, since the latter is likely to be recognized as a subject of legal relations in the future. Based on a number of examinations and practical examples, the author makes the following conclusion: AI is fundamentally capable of being criminally liable; in addition, it is capable of correcting its own behavior under the influence of coercive measures.

Artificial Intelligence Surpassing Human Intelligence: Factual or Hoax

2020 ◽  
Author(s):  
Sana Khanam ◽  
Safdar Tanweer ◽  
Syed Khalid
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Research Paper ◽  
Human Intelligence ◽  
Technological Changes ◽  
The Future ◽  
The Subject ◽  
Trending Topics ◽  
Near Future

Abstract Artificial intelligence is one of the most trending topics in the field of Computer Science which aims to make machines and computers ‘smart’. There are multiple diverse technical and specialized research associated with it. Due to the accelerating rate of technological changes, artificial intelligence has taken over a lot of human jobs and is giving excellent results that are more efficient and effective, than humans. However, a lot of time there has been a concern about the following: will artificial intelligence surpass human intelligence in the near future? Are computers’ ever accelerating abilities to outpace human jobs and skills a matter of concern? The different views and myths on the subject have made it even a more than just a topic of discussion. In this research paper, we will study the existing facts and literature to understand the true definitions of artificial intelligence (AI) and human intelligence (HI) by classifying each of its types separately and analyzing the extent of their full capabilities. Later, we will discuss the possibilities if AI eventually can replace human jobs in the market. Finally, we will synthesize and summarize results and findings of why artificial intelligence cannot surpass human intelligence completely in the future.

Comparing two context-driven approaches for representation of human tactical behavior

2008 ◽  
Vol 23 (3) ◽  
pp. 295-315 ◽  
Author(s):  
AVELINO J. GONZALEZ ◽  
PATRICK BRÉZILLON
Keyword(s):  
Decision Making ◽  
Real World ◽  
Human Intelligence ◽  
The Real ◽  
Specific Objective ◽  
The Future ◽  
Contextual Graphs ◽  
Compare And Contrast ◽  
Representational Level

AbstractThis paper describes an investigation that compared Context-based Reasoning (CxBR) and Contextual Graphs (CxG), two well-known context-driven approaches used to represent human intelligence and decision-making. The specific objective of this investigation was to compare and contrast both approaches to increase the readers’ understanding of each approach. We also identify which, if any, excels in a particular area, and to look for potential synergism between them. This comparison is presented according to 10 different criteria, with some indication of which one excels at each particular facet of performance. We focus the comparison on how each would represent human tactical behavior, either in a simulation or in the real world. Conceptually, these two context-driven approaches are not at the same representational level. This could provide an opportunity in the future to combine them synergistically.

scholarly journals The future of society according to future Russian lawyers

2020 ◽  
Vol 11 (3) ◽  
pp. 28-42
Author(s):  
Sergey G. Ushkin ◽  
Ekaterina A. Koval
Keyword(s):  
Personal Growth ◽  
Subjective Wellbeing ◽  
Value Orientations ◽  
Russian Society ◽  
State University ◽  
Russian State ◽  
The Future ◽  
Future Society ◽  
Normative Expectations ◽  
High Level

This article shows that studying the views of future Russian lawyers on the projective future of society is a relevant development, since this particular socio-professional group does not only put forward certain demands in regards to projective subjective social wellbeing, but also possesses the lawmaking potential necessary for the transformation and normative engineering of Russian society. The article analyzes the results of the author’s own research, conducted in 2016 in 12 cities of Russia (based on All- Russian State University of Justice and its subsidiaries). According to the author, the results of research in the field reveal a relatively high level of subjective wellbeing registered among the respondents, with their core values being justice, freedom, upholding law and order, public initiative. In order to measure normative expectations, those surveyed were offered to characterize three models of a supposed society using an array of parameters: “the best society” (utopian), “a bad society” (dystopian) and “a good society” (one that’s attainable and suitable for life and personal growth). As a result, certain projective requirement indexes were obtained for implementing these models in a future society. It came as somewhat of a surprise that, in spite of the widespread belief that the value orientations of modern youth have a “consumer” nature to them, material wellbeing turned out to be far from the most significant parameter. The highest values were shown by indexes which correlated with such virtues as justice, equality and lawfulness, which speaks to their considerable influence on the respondents’ evaluation of their subjective wellbeing. The authors also noticed a fundamental difference when it comes to future Russian lawyers’ thoughts on the paths towards attaining justice. The indexes for a society constantly subject to reform and a conservative society were practically on the same level. This indirectly points to the existence of a deeply rooted divide when it comes to values, indicating that people are looking into the future with uncertainty, which is proven by a multitude of studies done by other authors.

scholarly journals Future trends: businness view and high tech

2020 ◽  
pp. 6
Author(s):  
José Rafael Marques da Silva ◽  
Manuela Correia
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Business Models ◽  
High Tech ◽  
Human Intelligence ◽  
Future Trends ◽  
Arable Crops ◽  
Food Traceability ◽  
Slide Presentation ◽  
The Future

This topic presents the macro-design of SPA that will surely appear in the coming years and also the future technological trends in SPA applied to viticulture and arable crops. A vision of the future of SPA is presented in three layers: i) human intelligence (related to soil, plants, climate, pests, diseases, environment, food production, fibre and energy) on top; ii) artificial intelligence (related to hardware, communications, data) in the middle; iii) and again human intelligence on the bottom (consumers, business models, transparency, food traceability). “Big Data” challenges are discussed regarding the specific needs of agriculture. The technological groups identified in a Foresight Analysis report are discussed and the future technological trends on arable crops and vineyards are presented. In this topic, materials include a slide presentation, a document text and the Foresight Analysis report.

Sign in / Sign up

Export Citation Format

Share Document