myresearchgo issn 3107-3816(online)
A Study on the need for Ethical Interventions in AI wave of Digital Crimes
Authors :
Dr.(Mrs.)Varsha Ganatra Associate Professor and Head of Department Department of Commerce Vivekanand Education Society’s College of Arts, Science and Commerce (Autonomous) Sindhi Society, Chembur, Mumbai - 400071.
Ms. Mahika Bhaven Shah M.COM - 2 (Accountancy), Vivekanand Education Society’s College of Arts, Science and Commerce (Autonomous), Sindhi Society, Chembur, Mumbai - 400071.
Abstract
Artificial Intelligence has gained immense attraction across diverse fields such as healthcare, finance and education (Marr, 2020). Cybercriminals increasingly leverage AI to enhance their malicious activities. This research examines various forms of digital crimes facilitated by AI including identity theft, deepfake technology and automated phishing attacks highlighting the challenges & gaps posed by these technologies to traditional legal frameworks. This research paper explores the pressing need for ethical intervention in the context of AIdriven digital crime focusing on the implications for security, privacy and societal norms. It aims to explore the necessity of ethical intervention in mitigating these risks and ensuring that AI serves the public good rather than enabling criminal activities. Descriptive research is conducted for this research as it seeks to provide an overview of issues, identify concerns and outline the need for ethical standards and interventions. While scholars have examined various dimensions of AI ethics including algorithmic accountability, transparency and bias (Jobin et al., 2019) there remains a scarcity of studies that specifically address the proactive ethical interventions required in combating the detrimental use of AI in digital crime. Keywords : Artificial Intelligence, Digital Crime, Ethical Intervention
References
Joshi, M. A. D. Bibliometric Survey on Deep Learning Based Recommendation System.
(2024), myresearchgo https://assets.zyrosite.com/AE0aDPpwPGCpQx09/bibliometric-survey-on-deep-learning-base recommendation-system-m6LZ3KM0NaIDGQMg.pdf