MHA's AI vision: Predictive policing, dark web monitoring, ending mule accounts, Pg10

Key Highlights:

• The Ministry of Home Affairs (MHA) is using Artificial Intelligence (AI) to strengthen India's internal security.
• I4C is planning an AI-assisted complaint registration system for the 1930 helpline to improve user experience.
• An AI-based tool is being used to screen Child Sexual Exploitative and Abuse Material (CSEAM) content.
• I4C uses AI-based tools to monitor the dark web, scam websites, and fraud networks.
• Surakshini, a proposed initiative, will establish a dedicated Mitigation Centre to remove vulgar content.

Detailed Insights:

• The Parliamentary Standing Committee report highlights AI's role in enhancing operational capabilities of police forces and other agencies.
• I4C, in collaboration with IIT Bombay, is exploring AI to assign 'suspect scores' to mule accounts by analyzing behavioral and transactional patterns.
• RBIH is developing a model for real-time suspect scoring for financial transactions, enabling banks to flag fraudulent transactions.
• The AI model used for screening CSEAM content is being fine-tuned and will be extended to crawl the open web.
• Mule Hunter App, an in-house AI/ML-based solution, enhances fraud detection across banking systems.
• Surakshini will facilitate a comprehensive hashbank for CSEAM and NCII content, enabling proactive detection and prevention of harmful content upload.
• Forensic departments under the MHA are equipped with advanced technologies for digital and cybercrime investigations.

Key Concepts Involved:

• Artificial Intelligence (AI): The capability of a machine to imitate intelligent human behavior.
• Mule Account: An account used to transfer and launder illegally obtained money.
• Dark Web: A part of the internet that is intentionally hidden and requires specific software to access.