Inefficiently Automated Law Enforcement

Author(s): 
Publication Type: 
Academic Writing
Publication Date: 
May 4, 2016

For some crimes the entire law enforcement process can now be automated. No humans are needed to detect the crime, identify the perpetrator, or impose punishment. While automated systems are cheap and efficient, governments and citizens must look beyond these obvious savings as manual labor is replaced by robots and computers.

Inefficiency and indeterminacy have significant value in automated law enforcement systems and should be preserved. Humans are inefficient, yet more capable of ethical and contextualized decision-making than automated systems. Inefficiency is also an effective safeguard against perfectly enforcing laws that were created with implicit assumptions of leniency and discretion.

This Article introduces a theory of inefficiently automated law enforcement built around the idea that those introducing or increasing automation in one part of an automated law enforcement system should ensure that inefficiency and indeterminacy are preserved or increased in other parts of the system.

Read full Michigan State Law Review article here