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Peeters & Schuilenburg (2023) Algorithmic Governance - Coggle Diagram
Peeters & Schuilenburg (2023)
Algorithmic Governance
1. Algorithmic Governmentality
algorithmic regulation
cybernetics
feedback loops
algorithmic governmentality
data collection
data processing and pattern detection
prediction and behavioral intervention
on the theoretical basis of Foucault
algocracy
algocratization
action scripts
on the theoretical basis of Weber
2. Algorithmic Technology
automated agents
)
systems acting independently of humans
perform and execute tasks autonomously
used in both public and everyday contexts
automated assesments
resource allocation
individual evaluation
behavioral intervention
infrastructure planing
automated decisions
replacement of human administrative decisions
tax
welfare eligibility
fully digitalized processes
e-services
portals
data-sharing across institutions
chains
networs
3. Algorithmic Knowledge
input
calcuation/quantification
classifcation
prediction
throughput
opacity
complexity of models
proprietary systems
machine learning unpredictability
closure
output
standardization
reduces human discretion
treats individuals as categories
risks unfair or rigid decisions
4. Algorithmic Power
predictive policing
issues
inequality
surveillance
bias
lack of accountability
operating indirectly by shaping behavior and decision-making
call for more critical and
political engagement with the role of algorithms in society
Algorithms
rule-based
predefined instructions designed by humans
learning
adaptive systems capable of identifying patterns in large datasets and adjusting their behavior