Editing Algorithmic Power and Justice (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Biased Loop' (Predicting crime and the feedback effect):'''
<syntaxhighlight lang="python">
def simulate_patrol_loop(neighborhood_a_crime, neighborhood_b_crime, police_count):
    """
    Shows how algorithms create their own reality.
    """
    # 1. The algorithm sends police where it 'thinks' crime is.
    patrol_ratio_a = neighborhood_a_crime / (neighborhood_a_crime + neighborhood_b_crime)
    
    # 2. More police = more 'reported' crime (even if the actual rate is the same).
    new_crime_a = neighborhood_a_crime * (1 + patrol_ratio_a)
    
    return {
        "Patrol Intensity A": f"{round(patrol_ratio_a * 100)}%",
        "Next Year's Prediction A": "INCREASED (System confirms its own bias)"
    }

# Start with a small difference (e.g., historical bias)
print(simulate_patrol_loop(10, 8, 100))
</syntaxhighlight>

; Justice Landmarks
: '''The ProPublica COMPAS Study (2016)''' → A groundbreaking investigation proving that a criminal sentencing algorithm was 2x more likely to wrongly label Black defendants as "High Risk" compared to white ones.
: '''Amazon's Sexist Hiring AI''' → A project Amazon had to cancel because it "Learned" that most past successful hires were men, and thus started automatically rejecting any resume that mentioned the word "Women's" (like "Women's Chess Club").
: '''The Dutch Childcare Benefit Scandal''' → Where an algorithm wrongly labeled 26,000 parents as "Fraudsters," forcing them into debt and causing the Dutch government to resign in 2021.
: '''Facial Recognition Bans''' → Cities like San Francisco banning police from using facial recognition because the technology is significantly less accurate on people with darker skin.
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