Harnessing Artificial Intelligence: A Comprehensive Study Of Its Impact Across Key Sectors
- IJLLR Journal
- Oct 13
- 2 min read
Saeeba Mushtaq Bhat, Ph.D Research Scholar, Department of Law, University of Kashmir.
ABSTRACT
Key industries like healthcare, education, banking, transportation, journalism, and law are all being revolutionised by artificial intelligence (AI). The impact of AI in these fields is thoroughly examined in this paper, which also looks at its developments, uses, and ramifications. Artificial Intelligence (AI), which includes machine learning, deep learning, computer vision, natural language processing, and reinforcement learning, has enabled machines to perform tasks that traditionally require human intelligence. Revolutionary advancements have been made possible by AI's historical progression from rule-based systems to sophisticated neural networks. AI improves patient management, personalised treatment, and diagnostic precision in the healthcare industry. AI-powered intelligent tutoring programs, automated tests, and personalised learning all benefit education. AI is used in the financial industry for fraud detection, risk management, and individualised client engagements. AI is used in transportation for autonomous vehicles, traffic optimisation, and predictive analytics. AI is used in media and entertainment for immersive experiences, tailored recommendations, and content curation. Although ethical worries about prejudice and data protection are still common, the legal business is using AI more and more for legal research, document automation, and case prediction. AI has plenty of advantages, but it also has limitations, including the possibility for bias, ethical quandaries, and job displacement. In order to achieve responsible AI deployment, this study emphasises the necessity of ethical AI frameworks, human-AI collaboration, and regulatory laws. AI has the potential to improve productivity, creativity, and decision-making in a variety of sectors as it develops further, but it also calls for a balanced strategy to reduce risks and guarantee the societal well being.
Keywords: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Computer Vision, AI in Law and Ethics, AI Applications in Healthcare and Finance.
