Introducing
Your new presentation assistant.
Refine, enhance, and tailor your content, source relevant images, and edit visuals quicker than ever before.
Trending searches
AI in Predictive Policing
#Predictive Policing is not a new Concept
Crime 30 - 40 %
ERT 15-20%
“ Predictive policing means the use of historical data to create a forecast of areas of criminality or crime hot spots, or high-risk offender characteristic profiles that will be one component of police resource allocation decisions. The resources will be allocated with the expectation that, with targeted deployment, criminal activity can be prevented, reduced, or disrupted. ”
Predictive Policing Cycle
Challenges
Robustness
&
Generalization
Technological Positivism and Objectivity
Accuracy, Bias, Transparency and Accountability
Stage 1: Selection Bias: which crimes are selected?
“Future policing is predicted, not future crime” (Babuta & Oswald, 2019)
Racial Bias: mislabeling black defendants
Example: US: Northpointe (ProPublica, 2016)
Judges
Police Officers
ML misses two factors due to temporal stationarity:
--> Prevents the creation of a less biased system
→development ≠ implementation
example: risk-scoring systems
Being responsible for your actions/decisions and being expected and able to explain them
→ transparency and accountability of ACTORS