Difficulties and Challenges in Implementing Artificial Intelligence in Different Fields
Author(s): 1. Dr. Parthasaradhy. T, 2. Mrs. K. Dhanavathi, 3. Ms. G. Shanthini
Authors Affiliations:
1. Professor, Department of Management studies, Sri Venkateshwaraa College of Engineering and Technology, Ariyur, Puducherry, India. :
2. Assistant Professor, Department of Management studies, Sri Venkateshwaraa College of Engineering and Technology, Ariyur, Puducherry, India. :
3. Assistant Professor, Department of Management studies, Sri Venkateshwaraa College of Engineering and Technology, Ariyur, Puducherry, India.
DOIs:10.2015/IJIRMF/202508021     |     Paper ID: IJIRMF202508021By facilitating automation, improving decision-making and spurring innovation, artificial intelligence is revolutionizing in different fields. However, there are a number of obstacles and constraints associated with the application of artificial intelligence technology in a variety of fields, including education, engineering and technology, healthcare, business economics, social science and humanities and arts and design. This study examines the various obstacles to integrating artificial intelligence, such as organizational opposition, worker displacement, ethical concerns, legal gaps, data availability and quality challenges, and technology limits. The study finds both domain-specific and general obstacles to successful artificial intelligence adoption through a comparative investigation of various fields. It also talks about how interdisciplinary cooperation, infrastructural development, policy frameworks can help gets over these challenges. The report ends with suggestions for interested parties to support the more ethical and sustainable application of artificial intelligence in a variety of domains.
Dr. Parthasaradhy. T, Mrs. K. Dhanavathi, Ms. G. Shanthini (2025); Difficulties and Challenges in Implementing Artificial Intelligence in Different Fields, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-8, Pp. 169-178.     Available on –  https://www.ijirmf.com/
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