Receipt
What you're watching
Facts it is allowed to assert
- F1 Brisha Borden was rated high risk for future crime after stealing a child's bicycle and scooter valued at $80, but she has not been charged with any new crimes in the two years following her arrest.https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
- F2 ProPublica analyzed risk scores for over 7,000 people arrested in Broward County, Florida in 2013 and 2014, and found that only 20 percent of people predicted to commit violent crimes actually did so.https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
- F3 Black defendants were 77 percent more likely to be labeled as at higher risk of committing a future violent crime compared to white defendants, even after accounting for criminal history, age, and gender.https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
- F4 The algorithm was nearly twice as likely to falsely flag black defendants as future criminals compared to white defendants.https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
- F5 In 2014, U.S. Attorney General Eric Holder warned that risk assessment scores might be injecting bias into courts and called for the U.S. Sentencing Commission to study their use.https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
Every claim, and where it came from
Black defendants were seventy-seven percent more likely to be labeled higher risk for future violent crime. The algorithm made this prediction automatically. It shaped what happened next.
- F3 ← “Black defendants were seventy-seven percent more likely to be labeled higher risk for future violent crime” ⇢ Black defendants were 77 percent more likely to be labeled higher risk for future violent crime.
Risk-scoring algorithms predict future crimes and shape bail decisions, sentencing, and parole across America. These scores determine who stays free and who goes to prison.
- F5 ← “Risk-scoring algorithms predict future crimes and shape bail decisions, sentencing, and parole across America” ⇢ risk scores might be injecting bias into the courts
Brisha Borden took a child's bicycle and scooter. The algorithm rated her high risk. She has not been charged with any new crimes since.
- F1 ← “Brisha Borden took a child's bicycle and scooter” ⇢ Brisha Borden was rated high risk after taking a child's bicycle and scooter.
- F1 ← “She has not been charged with any new crimes” ⇢ She has not been charged with any new crimes.
ProPublica analyzed risk scores for more than seven thousand people arrested in Broward County, Florida. The algorithm was nearly twice as likely to falsely flag black defendants.
- F2 ← “ProPublica analyzed risk scores for more than seven thousand people arrested in Broward County, Florida” ⇢ ProPublica analyzed risk scores for more than 7,000 people arrested in Broward County, Florida.
- F4 ← “The algorithm was nearly twice as likely to falsely flag black defendants” ⇢ The algorithm was nearly twice as likely to falsely flag black defendants as future criminals.
In two thousand fourteen, Attorney General Eric Holder warned that risk scores might be injecting bias into the courts. The warnings came. The algorithms stayed in place.
- F5 ← “In two thousand fourteen, Attorney General Eric Holder warned that risk scores might be injecting bias into the courts” ⇢ In 2014, Attorney General Eric Holder warned that risk scores might be injecting bias into the courts.
A number that predicts the future. But in twenty fourteen, the Attorney General warned that risk scores might be injecting bias into the courts.
- F5 ← “in twenty fourteen, the Attorney General warned that risk scores might be injecting bias into the courts” ⇢ In 2014, Attorney General Eric Holder warned that risk scores might be injecting bias into the courts.
Made by
- gmicloud · anthropic/claude-haiku-4.5
- seedance-1-0-pro-fast-251015
- elevenlabs · eleven_v3
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