Discriminação algorítmica, Inteligência artificial, Hipervigilância digital e tomada de decisão automatizada

269 Ratna Sisodiya, Rachana Choudhary e Surendra Singh Bhati 2. Integration and Interoperability Ensuring seamless integration and interoperability of surveillance systems across different agencies and jurisdictions: • Centralized Command Centers: Establishing centralized monitoring and command centers to coordinate responses and share real-time information among law enforcement agencies. • Data Sharing Platforms: Implementing secure platforms for sharing surveillance data and intelligence between agencies to facilitate collaboration in investigations and crime prevention. 3. Predictive Analytics and AI Harnessing predictive analytics and artificial intelligence to anticipate and prevent crimes: • Predictive Policing: Using data analysis to identify crime patterns and allocate resources preemptively to high-risk areas. • Risk Assessment Tools: Developing algorithms to assess risks and vulnerabilities based on historical data, aiding in proactive interventions. 4. Legal and Ethical Frameworks Establishing robust legal and ethical frameworks to govern surveillance practices: • Privacy Protections: Enacting laws and regulations to safeguard individual privacy rights and limit the misuse of surveillance technologies. • Oversight Mechanisms: Creating independent oversight bodies to audit surveillance activities, ensure compliance with regulations, and address public concerns.

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