Context: Artificial Intelligence (AI) is expected to impact crime and crime control, similar to how the internet transformed cybercrime in the past. The government of India has been pursuing the policy of SMART policing i.e. Strategic, Meticulous, Adaptable, Reliable, and Transparent policing.
Relevance of the Topic: Mains: Application of Artificial Intelligence (AI) in Criminal Justice Reform.
AI and Crime- The challenge
Generative AI and deep learning are reshaping cybercrime, making it easier for criminals to exploit text generation, voice cloning, and realistic image creation. The risks include:
- Automation of Attacks: AI can automate phishing campaigns, creating highly convincing messages at scale. It also allows malware to adapt dynamically to evade real-time detection, making cyberattacks more efficient and difficult to counteract.
- Deepfakes and synthetic media: AI-generated deepfakes can impersonate executives or public figures, facilitating high-value fraud such as business email compromise (BEC), extortion, and social manipulation.
- Enhanced cyberattacks: AI algorithms optimise ransomware operations by identifying critical data or systems to encrypt for maximum leverage. Nation-state actors use AI for advanced cyber-espionage, bypassing traditional security measures.
- Autonomous operations: AI agents can operate independently, identifying and exploiting vulnerabilities without human oversight. This could lead to complex objectives like hacking critical infrastructure.
- Synthetic identities: AI enhances the creation of fake identities by combining personal information from various real people, enabling fraudsters to open financial accounts.
- Disinformation operations: AI streamlines content generation and distribution for propaganda and disinformation campaigns, targeting vulnerable populations and accelerating societal polarisation.
AI as a tool for Criminal Justice Reform
AI in Police Administration:
- Case supervision: AI can assist in case supervision, data collation, and reducing the administrative workload of district-level police officers.
- Reduced administrative workload: The shift of police personnel from administrative to fieldwork (investigations, patrolling, traffic management) would improve public service.
AI and SMART Policing:
- SMART Policing: Indian government’s SMART policing initiative (Strategic, Meticulous, Adaptable, Reliable, Transparent) aligns well with AI applications.
- Data processing: AI’s ability to process large datasets (text, image, voice) ensures meticulous crime analysis and prevents evidence oversight.
- Increased reliability: AI enhances reliability by reducing errors in decision-making and strengthens transparency in police operations.
AI in Judicial System:
- Reduced backlog: Judicial backlog of over 50 million cases undermines public trust in justice delivery.
- Legal research: AI-powered court transcription, automated document management, fraud detection, and legal research can enhance judicial efficiency.
- Analyzing precedents: AI can assist judges in analysing precedents, drafting judgments, and supervising lower courts.
Suggestions and Way Forward
- The new US government has launched a $100 billion Stargate AI initiative to advance AI capabilities. India should also form a task force to study and implement AI in the justice system.
- AI rollout at police stations and courts as a pilot project along with personnel training can be initiated to assess the impact.
Concerns such as accuracy, data privacy, and bias mitigation must be addressed before AI is implemented in courts.