Artificial Intelligence using TOPSIS Method
Authors: Kumbum Praveen Kumar , Adari Vijay Kumar , Chunduru Vinay , Gonepally Srinivas , Amuda Kishor Kumar 
Published: November 2024

Technology based on artificial intelligence (AI) is a revolutionary force that is changing economies, civilizations, and industries all over the world.
AI, which has its roots in computer science and cognitive psychology, is a wide range of tools and methods designed to make robots capable of doing
activities that have historically required human intellect. This abstract examines the many facets of artificial intelligence (AI) technology, including
its fundamentals, uses, difficulties, and ramifications. Artificial Intelligence (AI) technology comprises several subfields such as robotics, computer
vision, natural language processing, machine learning, and expert systems. Particularly, machine learning techniques have propelled incredible
progress by allowing computers to learn from data and make judgments or predictions without the need for explicit programming. Natural language
processing allows machines to comprehend, interpret, and produce human language, hence facilitating human-computer interaction. Machines can
now see, analyze, and interpret visual data from the real world thanks to computer vision technology. Applications of AI technology may be found
in a wide range of industries, including manufacturing, healthcare, finance, transportation, agriculture, education, and entertainment. AI-powered
solutions help in drug discovery, medical imaging analysis, diagnosis, and customized therapy in the healthcare industry. AI algorithms are used
in finance to power automated trading, fraud detection, risk assessment, and customer support. AI makes it possible for transportation to include
predictive maintenance, traffic management, and driverless cars. Artificial Intelligence enhances supply chain management, quality assurance,
and production processes in manufacturing. AI technology has the potential to revolutionize many industries, but it also comes with dangers
and problems. These include privacy concerns, security hazards, ethical dilemmas, issues with prejudice and fairness, and effects on society and
employment. Responsible AI methods, legal frameworks, multidisciplinary cooperation, and ethical standards are all necessary to meet these issues.
Future prospects for AI technology development include the ability to solve challenging issues, spur creativity, increase productivity, and improve
quality of life. But to fully utilize AI, one must take a comprehensive strategy that strikes a balance between the advancement of technology and
ethical issues, human values, and social well-being. In summary, artificial intelligence (AI) technology is at the vanguard of innovation, presenting
never-before-seen possibilities to transform whole sectors, spur economic expansion, and tackle global issues. AI has the ability to usher in a future
of greater human-machine collaboration, innovation, and wealth through the promotion of collaboration, transparency, and ethical stewardship.
the Ranking of the Artificial Intelligence using the TOPSIS Method . Interpretable Models is got the first rank whereas is the Ethical AI is having the
Lowest rank.
Keywords: Explainable AI (XAI), Interpretable Models, Ethical AI ,Responsible AI, Robustness and Adversarial Defense, Continual Learning,
Federated Learning, Human-Centric AI, AI Governance and Policy