چکیده مقاله
Artificial Intelligence AI is revolutionizing engineering disciplines by introducing unprecedented efficiencies, predictive capabilities, and automation across various fields From structural analysis and material optimization to real time monitoring and fault detection, AI driven solutions are redefining how engineers approach problem solving and innovation These advancements enable more precise simulations, faster computations, and enhanced decision making, ultimately leading to improved design, performance, and sustainability However, despite its vast potential, engineers face numerous obstacles when incorporating AI into their workflows The successful adoption of AI in engineering is hindered by several factors, including data limitations, ethical dilemmas, lack of interpretability, high computational costs, and regulatory challenges Engineers must not only grapple with technical complexities but also navigate the broader implications of AI, such as ensuring fairness, accountability, and compliance with industry standards This paper systematically explores these key challenges by reviewing recent case studies and emerging industry trends By analyzing real world applications and research developments, we highlight the most pressing issues that engineers encounter when deploying AI based systems Furthermore, we propose strategic solutions to address these difficulties, enabling responsible and effective AI integration in engineering fields Addressing these challenges will be crucial in harnessing the full potential of AI while maintaining safety, reliability, and ethical integrity in engineering practices
کلیدواژهها
نویسندگان
Mohammadtaher Hasani
Department of Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
شیوه ارجاع
Hasani, Mohammadtaher,1403,Artificial Intelligence Challenges for Engineers,20th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
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