A Comprehensive Review on the Role of AI in Phishing Detection Mechanisms

Abstract

The integration of Artificial Intelligence (AI) in various domains, such as healthcare, education, business, and generative applications, is thoroughly reviewed in this paper emphasizing the transformative and detective power of AI. The operational efficiency of the applications has been greatly increased by AI-driven innovations like automation, personalized healthcare solutions, and improved decision-making optimization. In addition to providing a critical analysis of AI's advantages and disadvantages, the review synthesizes findings from several studies and addresses ethical concerns, data privacy issues, bias, and security risks related with generative AI technologies. The implications of AI-driven disinformation and the changing regulatory environment are two promising new insights this paper offers. Even with significant advancements, there are still issues that need to be addressed, especially with regard to managing the social effects of AI, creating uniform ethical frameworks, and guaranteeing data quality. This study adds to the body of literature by highlighting the necessity of strong mitigation techniques, interdisciplinary cooperation, and ethical AI governance to promote responsible AI deployment. 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.