Implementation challenges faced by artificial intelligence for national security
Prabhat Kumar Srivastava, Basudeo Singh Roohani, Rohit Aggarwal, Nitin Sharma · 2024
The essay “Computing Machinery and Intelligence,” authored by American computer scientist Alan Turing in the 1950s, introduces the concept of artificial intelligence (AI). “The ability of a computer system to do tasks that typically require human intelligence” is the definition of AI. The important fields of AI are automation, machine learning, and deep learning. AI began to rapidly develop in both the military and civilian sectors during the 1990s to increase national security. Work productivity and capacity are increased with the application of AI in India. Platforms or specific equipment can incorporate AI technology so that it can perform on its own. However, there are a few obstacles to overcome when implementing AI to provide security to the nation. Addressing implementation challenges requires a multidisciplinary approach involving collaboration between policymakers, domain experts, AI researchers, and ethicists. Implementing AI for national security must prioritize transparency, accountability, privacy protection, and human oversight to ensure responsible and effective deployment of AI technologies in safeguarding national interests.