"The Sociotechnical Impact of Predictive Policing Algorithms on Civil Liberties"

Abstract:

Predictive policing uses AI to forecast crime patterns and allocate law enforcement resources more effectively. However, this approach raises significant concerns about civil liberties, privacy, and potential discrimination. This dissertation investigates the societal impacts of predictive policing technologies and proposes strategies for mitigating negative consequences.

Research Questions:

1. How accurate and reliable are predictive policing algorithms in identifying high-risk areas or individuals?
2. To what extent do predictive policing systems perpetuate systemic biases against marginalized communities?
3. What policies or safeguards should be implemented to protect citizens' rights while leveraging AI in law enforcement?

Methodology:

• Review real-world implementations of predictive policing systems in various jurisdictions.
• Collect empirical data on crime rates, arrests, and community feedback before and after AI implementation.
• Engage stakeholders (law enforcement, policymakers, community members) in discussions to co-create ethical guidelines for AI use in policing