AI Sentencing Algorithm

Billy McFarland proposes creating an AI-powered sentencing system to address disparities in criminal sentencing. The system would analyze crime data and personal circumstances to recommend fair sentences, particularly benefiting defendants who lack access to quality legal representation.

Key Points:

• AI Sentencing Recommendation System:

  • Analyzes all information around someone's crime and personal life
  • Studies outcomes of similar cases to predict likelihood of future success
  • Provides data-driven sentence recommendations to judges

• Addresses Current System Problems:

  • Reduces disparity in sentencing for similar crimes
  • Minimizes impact of individual judge's discretion
  • Helps standardize sentences across different jurisdictions

• Benefits Lower Income Defendants:

  • Provides fair assessment for those who can't afford quality attorneys
  • Helps present more complete picture of defendant beyond just the crime
  • Creates more equal opportunity for second chances

• Supplements Existing Process:

  • Works alongside current judicial guidelines
  • Provides additional data point for judges
  • Maintains human oversight while adding algorithmic fairness

• Goals:

  • Make sentencing more equal across the board
  • Base sentences on likelihood of future success
  • Reduce impact of individual judge's personal biases