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Using ethical artificial intelligence (EAI) to achieve sustainable development, Iraq as a case study
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Introduction

Iraq faces persistent challenges in achieving sustainable development due to decades of conflict, political instability, and infrastructural degradation. These challenges are particularly evident in critical sectors such as energy, water, healthcare, education, and governance, which significantly influence human well-being, social equity, and quality of life. This study proposes an AI-driven, ethically guided, and human-centric sustainability framework to support resilient urban transformation in Iraq.

Methods

The proposed framework integrates Ethical Artificial Intelligence (EAI), machine learning techniques, and a computational decision-support system (DSS). A hybrid modeling approach combining Multi-Criteria Decision Analysis (MCDA) and AI is developed to evaluate sustainability performance across interconnected sectors, including clean energy, water security, smart transportation, environmental protection, e-governance, and human development. The system incorporates real-time data analytics and a customized software prototype adapted to Iraq’s socio-economic and environmental context. Ethical principles such as transparency, fairness, accountability, privacy protection, and bias mitigation are embedded throughout the model design and implementation.

Results

The framework enables dynamic and real-time sustainability assessment across multiple urban sectors. When applied to the Baghdad case study, it demonstrates improved performance in energy distribution efficiency, water resource management, healthcare service delivery, and governance transparency. The results indicate enhanced decision-support capability and optimized resource allocation, while explicitly prioritizing human development indicators within the evaluation and optimization process.

Discussion

The findings highlight the potential of Ethical Artificial Intelligence as a transformative enabler of the United Nations Sustainable Development Goals (SDGs), particularly SDGs 3, 4, 6, 7, 9, 10, 11, and 16 in post-conflict contexts. The proposed framework provides a scalable and transferable model for sustainable urban transformation. It further demonstrates that embedding Ethical AI as a governing layer is essential for ensuring transparency, equity, accountability, and long-term resilience in smart city systems.

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Sun Nov 01 2015
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A Spike Neural Controller for Traffic Load Parameter with Priority-Based Rate in Wireless Multimedia Sensor Networks
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Building a mathematical model of the transportation problem under the dynamics of demand restrictions with practical application
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Abstract\

In this research we built a mathematical model of the transportation problem  for data of General Company for Grain Under the environment of variable demand ,and situations of incapableness to determining the supply required quantities as a result of economic and commercial reasons, also restrict flow of grain amounts was specified to a known level by the decision makers to ensure that the stock of reserves for emergency situations that face the company from decrease, or non-arrival of the amount of grain to silos , also it took the capabilities of the tanker into consideration and the grain have been restricted to avoid shortages and lack of processing capability, Function has been adopted

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     The withdrawal causes a real affect deficit for children with autism limits the possibility of development of their intellectual and mental growth due to their solitude and the weakness of their focus in the acquisition of pedagogical skills and lack the necessary social skills to maintain the relations of friendship and enjoyment of them.

      withdrawal children fail to participate

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This paper introduces a complete design and simulation of a controller for the double fed induction generator (DFIG) turbine. The work also included the solar updraft tower (SUT) design to supply Al-Mahmoudia hospital in Baghdad/Iraq. The design includes the daily average load estimation, annual solar irradiance and, temperature monitoring, and logging.

According to the data obtained from the Ministry of Science and Technology, Baghdad has low wind speed. Therefore, the (SUT) has been designed to generate electrical power depending on the difference between the external and internal air temperature. The temperature difference will generate a suitable airspeed to drive the wind turbine, connected to the proposed (DFIG) generators

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Swine Flu 2009, Morbidity and Mortality in a Sample of patients Admitted in Al-kindy Teaching Hospital
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Objective; swine flu is known to be caused by influenza A subtypes H1N1,H1N2, H2N3, H3N1, and H3N2, was first proposed to be a disease related to human flu during the 1918 flu pandemic, Iraq face the epidemic of 2009, many patients admitted to the medical word of alkindy teaching hospital, the clinical features were observed and managed according to WHO protocols.
The aim of the study; is to asses some features of morbidity and mortality of swine flu epidemic admitted patients in 2009 in alkindy teaching hospital.
Methods; A total 131 patients with suspected influenza
admitted to Alkindy Teaching Hospital all complain of
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The admitted patients are of two main
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