لقد كان للثورة الرقمية التي ظهرت في القرن العشرين أثر في إحداث تأثيرات جذرية تضمنت نواحي الحياة المختلفة، خصوصًا في المجال الإقتصادي، والتي تمثلت بثلاث صور ( الذكاء الإصطناعيArtificial Intelligence( AI) وإنترنت الأشياء Internet of Things والبيانات الضخمة Big Data ، وفيما يتعلق بالذكاء الإصطناعي، فقد تم إكتشافهُ في منتصف خمسينات القرن الماضي الذي تعد الولادة الحقيقية لهُ في المؤتمر الذي نُظم في الولايات المتحدة الأمريكية على يد العالمان John McCarthyو Marvin Minsky ، وعلى مرًّ السنين تطورت تقنيات الذكاء الإصطناعي بشكل متسارع الى أن وصلت بعض التطبيقات أن تكون لها القدرة على التعلم الذاتي من المواقف التي تمرًّ بها، فتتصرف بأستقلالية وفقًا للظروف والمواقف المحيطة بها، كالطأئرات المسيَّرة ذاتيًا والسيارت ذاتية القيادة والروبوتات وغيرها، وعلى الرغم من الفوائد التي لاتُعّد ولا تُحصى للذكاء الإصطناعي وتطبيقاته في المجالات الطبية والعسكرية والتعليمة وغيرها، إلا أن لهذه التطبيقات أثر سلبي على الإنسان فقد نتج عن استخدامها المساس بالمصالح المحمية قانونًا، لذا يؤدي ظهورها ، التفكير بشكل جديَّ حول التأثيرات المستجدة التي ستُحدثها هذه التقنية الثورية بما تملكه من إمكانيات متطورة ومقدرة على التصرف بشكل ذاتي ودون الحاجة لأي تدخل بشري ، لذا تحتم ﻋﻠﻰ اﻟﻤﺸﺮع إﻋﺎدة ﺗﻜﯿﯿﻒ ﻗﻮاﻋﺪه اﻟﻘﺎﻧﻮﻧﯿﺔ ذات اﻟﻤﺪﻟﻮل اﻟﻮاﻗﻌﻲ واﻟﻤﺎدي من أجل التعامل ﻣﻊ واﻗﻊ إﻓﺘﺮاﺿﻲ ﻏﯿﺮ ﻣﻠﻤﻮس ﻓﻲ حالات متعددة تحديدًا ﻣﻊ مرحلة إﻧﺘﻘﺎل ﻓﻜﺮة اﻟﺬﻛﺎء الإﺻﻄﻨﺎﻋﻲ ﻣﻦ الإطار اﻟﻤﻌﻨﻮي ﻏﯿﺮ اﻟﻤﻠﻤﻮس واﻟﺨﺎص، إﻟﻰ الإطار اﻟﻤﺎدي اﻟﻤﺤﺴﻮس واﻟﻌﺎم، وﻣﻦ إطﺎر اﻟﺒﺮﻣﺠﯿﺎت سهلة التحكم إﻟﻰ ﻧﻈﺎم اﻟﺒﺮﻣﺠﯿﺎت اﻟﺬﻛﯿﺔ، ﺳﻮاء تعلق هذا الأمر بتطور قدرات البشر أو تطوير تطبيقات الذكاء الإصطناعي من الناحية الفيزيائية أو المادية بصورة تحاكي البشر في تصرفاتهم وأفعالهم لذا الحاجة تستدعي التأطير القانوني للقواعد التي تحكم هذا الذكاء وتحديد المسؤولية المدنية والجنائية بصورتي العمد والخطأ الناجمة عن كل أخلال يصيب المصالح المحمية. Abstract The digital revolution that emerged in the twentieth century had a radical impact on various aspects of life, especially in the economic industry, which included three forms (Artificial Intelligence (AI), the Internet of Things, and Big Data. With regard to artificial intelligence, it was discovered in the mid-fifties of the last century, and its real birth was at the conference organized in the United States of America by the scientists John McCarthy and Marvin Minsky. Over the years, artificial intelligence techniques have developed rapidly until some applications have reached the ability to self-learn from the situations that they encounter and act independently according to the circumstances and situations surrounding it, such as drones, driverless cars, robots, etc., and despite the countless benefits of artificial intelligence and its applications in the medical, military, educational, and other fields, these applications have a negative impact on humans, which may result in using it to harm legally protected interests. Therefore, the emergence of artificial intelligence applications leads to serious thinking about the new effects that this revolutionary technology will have with its advanced capabilities and the ability to act independently and without the need for any intervention .Therefore, it is necessary for the legislator to readapt its legal rules with a realistic and material meaning in order to deal with a hypothetical, intangible occurrence occurs in several cases, specifically with the transition of the idea of artificial intelligence from the established framework from the intangible and private intention, to the concrete, tangible and public framework, and from the easy-to-control software framework to the intelligent software system, whether this matter relates to the development of human capabilities or the development of artificial intelligence applications from a physical or physical perspective in a way that mimics humans in their behavior and actions. Therefore, the need demands for legal framing of the rules that govern this intelligence and determining civil and criminal liability weather it is intentionality and unintentionally that resulting from every breach of the protected interest
The study aimed at recognizing the availability of the cultural intelligence dimensions in social studies book at the high school in the kingdom of Saudi Arabia (curricula system- joint program). The study used the descriptive approach and content analysis method. As tools of the study, the study adopted a list of cultural list of indicators and dimensions that suits the secondary stage social curricula. It further adopted a content analysis form designed to analyze the social studies book in the secondary school in the kingdom of Saudi Arabia. The study has reached several results, the most significant results were: There is a difference in including the cultural intelligence dimensions in social studies book at high school in the kingd
... Show MoreObjective(s): To determine the effect of obesity and socioeconomic status upon adolescents' high school students' intelligence quotient in Baghdad City. Methodology: A descriptive design is carried throughout the study to determine the effect of obesity and socioeconomic status on adolescents' high schools students' intelligence quotient in Baghdad City for the period of January 7th 2017 to May 29th 2017. A non-probability, purposive sample, of (120) high school students, is selected. The sample is comprised of (12) students from 7th grade, (26) students from 8 th grade, (14) students from 9th grade, (3
This study aimed to determine the level of spiritual intelligence among students of educational psychology course at the Jerash University. and whether this level of varies depend on the gender of the student as well as the college type. The study sample consisted of (180) male and female students of bachelor students at the University Jerash, in the second semester of academic year2014-2015. The main results of the study were that the level of spiritual
Intelligence of Jerash University students was high. More over There were no statistically significant differences at the level of significance (0.05) due to the effect of gender, college type or academic achievement
Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. Machine learning is a field of artificial intelligence that focuses on creating algorithms that can learn patterns and make ASD classification based on input data. The results of using machine learning algorithms to categorize ASD have been inconsistent. More research is needed to improve the accuracy of the classification of ASD. To address this, deep learning such as 1D CNN has been proposed as an alternative for the classification of ASD detection. The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). Results strongly suggest that 1D
... Show MoreBesides the role of state institutions that come in the forefront of their priorities and obligations to provide security and development of the economy and reduce the unemployment rate and the reduction of inflation and improving education, health and others, the Community Partnership At frames what has become known as the institutions of society civil-with the state does not eliminate the role, but rather complements its role ; it is the role of civil society partner and an extension of the role of the state in the face of challenges and crises, but it may be sometimes a race role in addressing social, political and economic issues of the role played by the state, not complementary.
The highlighting the specificity of the relationsh
The current research aims to diagnose the role of social responsibility as a contributing factor in enhancing the quality of services provided by the public sector in Iraq, where the research sought to demonstrate the relationship and impact of social responsibility dimensions (economic, legal, moral, and human) on the sector Services related to the electric field in Nineveh governorate because of its importance and its direct relationship with the citizen especially after the end of military operations in the destruction of the electricity sector by a large percentage in the city of Mosul. Nineveh Electricity Distribution Directorate / Center was chosen as a research community including (administrators and staff) of the research
... Show MoreBased economic units to technology to add innovations that lead to contribute to customer satisfaction, under intense competition and rapid development in customer taste, the economic units tend to apply the concepts that contribute to customer satisfaction led by the introduction of artificial intelligence techniques. In the production prominent role in the contributing and responding to the rapid changes in customer tastes, and consequent impact this in achieving customer satisfaction. Search gained importance of relying on artificial intelligence techniques to achieve customer satisfaction through speed of response to changes in the tastes of customers and thus be able to increase its market share، and sales growth، and to achieve a
... Show Moreدور الذكاء الصناعي في تحقيق رضا الزبون وانعكاسه على محاسبة التكاليف بحث تطبيقي في شركة الصناعات الالكترونية
The research aimed to identify the effects of the modern of technology on translating the media term from English language to Arabic. and try to identify the use of the impact of foreign media terminologies on the Arabic media term, and to know the effect of the translation process on Arabic media terminologies.
This research is considered an analytical study by using survey study for 111 items and the results for the study as following:
1.High percentage of the (use of foreign terms work to low the level of production) was (68.13%) and average 3.55
2.The percentage of (The multiplicity of translation of the foreign term into Arabic effects on the opinions and cognitive ideas of the Arab researcher and affects the
... Show MoreHydro cracking of heavy oil is used in refinery to produce invaluable products. In this research, a model of hydro cracking reactor has been used to study the behavior of heavy oil in hydro cracking under the conditions recommended by literature in terms lumping of feed and products. The lumping scheme is based on five lumps include: heavy oil, vacuum oil, distillates, naphtha and gases. The first order kinetics was assumed for the conversion in the model and the system is modeled as an isothermal tubular reactor. MATLAB 6.1 was used to solve the model for a five lump scheme for different values of feed velocity, and temperature.