Reflection Machines in a Preventive Frisking Context
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2022-01-28
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en
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Abstract
As a method to combat weapon violence, preventive frisking is used in cities
like Amsterdam. The current procedure is suboptimal because of randomisation
and lack of trust. A useful tool that might help work towards a solution
is the fairly new reflection machine (RM). This machine has the goal of bias
awareness, transparency and gaining meaningful human control, relative to
a decision support system. This thesis compares three applications of reflection
machines in the context of preventive frisking: A real-time interactive
RM with cameras, an RM as a training tool and an RM as a refresher. Furthermore,
necessary design decisions for implementing a reflection machine
are presented in the areas of: annotations, bias target categories, machine
learning, question selection, answer to the reflective question, and decision
change feedback. The reflection machine is a feasible solution for gaining
meaningful human control, bias awareness and transparency, and with
enough research, it could create more trust in the police and make preventive
frisking more efficient.
Keywords:
reflection machine, preventive frisking, ethnical profiling, bias,
responsibility gap, meaningful human control
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Faculteit der Sociale Wetenschappen