Application of the EDAS Method in Artificial Intelligence A Comprehensive Analysis
Nitesh Kumar Ramancha, Satyanarayana Ballamudi · Journal of Artificial intelligence and Machine Learning · 2023
The rapid advancement of artificial intelligence (AI) raises critical questions about its values, ethics, and societal impact. Different philosophical perspectives, including utilitarianism, Kantian ethics, and human agency, guide the debate on how AI systems should operate. AI involves creating intelligent agents that learn and make decisions to achieve specific goals. Its transformative potential spans various industries, influencing productivity, innovation, and even ethical considerations in autonomous systems. This paper explores these complexities, offering insights into AI's evolving landscape. This research is significant as it explores the ethical, philosophical, and practical implications of artificial intelligence (AI), impacting technology, society, and human decision-making. By examining value alignment, human agency, and adaptive learning, the study advances our understanding of how AI can enhance productivity, innovation, and daily life. Additionally, addressing transparency and explain ability in AI systems is crucial for fostering trust, especially in critical domains like healthcare and security, influencing policy and future AI development. Building information modelling (BIM), Robotics and automation, Computer vision, AI-Driven Construction Analytics, Cognitive Automation, and Visual AI Systems. The results show that Visual AI Systems received the highest ranking, whereas Computer vision received the lowest ranking. Visual AI Systems has the highest value for artificial intelligence according to the EDAS approach.