The Exploring the Transformative Potential and Challenges of Artificial Intelligence Across Multiple Domains:
A Survey
Keywords:
Artificial Intelligence; Biases, Robust; TransformationAbstract
This paper introduced a comprehensive review of the integration and challenge of artificial intelligence (AI) in various sectors, including healthcare, education, business and generative applications. It emphasizes the transformation potential of AI in areas such as optimization of decision making, automation, personalized health care and improvement of operational efficiency. An overview synthesizes findings from multiple studies and focuses on advantages and challenges such as ethical concerns, data privacy, distortion and risks associated with generative AI technologies. Despite the promising progress in the article, it emphasizes that further research needs to be solved by gaps in the quality of data, regulatory frames and social consequences. Recommendations for future work, including the need to develop robust strategies of alleviation, ethical instructions and interdisciplinary cooperation to ensure that AI technology is successfully implemented.
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This is an open Access Article published by Research Center of Computing & Biomedical Informatics (RCBI), Lahore, Pakistan under CCBY 4.0 International License