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Are Risk Assessment Algorithms Fair, or Racist?
Host Myles Bess takes a deeper look at how algorithms are being used in the criminal justice system -- and whether not computer programs make better predictions about criminal behavior than humans.
SUBSCRIBE to Above the Noise: [https://www.youtube.com/abovethenoise?sub_confirmation=1]
ABOVE THE NOISE is a show that cuts through the hype and takes a deeper look at the research behind controversial and trending topics in the news. Hosted by Myles Bess and Shirin Ghaffary.
*NEW VIDEOS EVERY OTHER WEDNESDAY*
It’s no big secret that the United States has a prison problem. We lock up people at higher rates than any other nation, and there are huge racial disparities in who we lock up. According to a study from The Sentencing Project, in state prisons, African Americans are incarcerated 5 times more than whites. There are lots of reasons for why we may see this racial disparities, including
law enforcement practices, crime rates, and punitive sentencing policies. Keeping so many people in prison is really expensive-- it costs about $80 billion dollars a year-- and it contributes to racial inequalities in America. As a result, there’s a big push among both Democrats and Republicans to reform our prison system. And one popular strategy many people advocate for as part of this reform effort are risk assessment tools. The tools use data to predict whether a person will commit a future crime. This video explores how these tools work and some of the controversy surrounding their use.
What do you think does a better job of predicting someone’s risk of committing a future crime -- data-driven algorithms or human judgement?
Check out some of these tools:
Sample of COMPAS Tool (Obtained by ProPublica):
https://www.documentcloud.org/documents/2702103-Sample-Risk-Assessment-COMPAS-CORE.html
http://www.northpointeinc.com/downloads/research/DCJS_OPCA_COMPAS_Probation_Validity.pdf (Appendix A: page 32)
Indiana Risk Assessment System Tools: http://www.pretrial.org/download/risk-assessment/Indiana%20Risk%20Assessment%20System%20(April%202010).pdf
Missouri Tool:
http://www.mosac.mo.gov/page.jsp?id=45500
Virginia: (Appendix D, page 132)
http://www.vcsc.virginia.gov/risk_off_rpt.pdf
In-depth article on this topic:
https://ww2.kqed.org/lowdown/2017/06/01/can-algorithms-predict-criminal-behavior/
Sources:
Risk Assessment in Criminal Sentencing https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2662082#
Risk Assessment Instruments Validated and Implemented in Correctional Settings in the United States: An Empirical Guide
https://csgjusticecenter.org/wp-content/uploads/2014/07/Risk-Assessment-Instruments-Validated-and-Implemented-in-Correctional-Settings-in-the-United-States.pdf
Risk Needs Assessment in the Criminal Justice System
https://fas.org/sgp/crs/misc/R44087.pdf
Bureau of Justice Statistics
https://www.bjs.gov/index.cfm?ty=pbdetail\u0026iid=5177
Incarceration gap widens between whites and blacks
http://www.pewresearch.org/fact-tank/2013/09/06/incarceration-gap-between-whites-and-blacks-widens/
Marijuana Arrests by the Numbers
https://www.aclu.org/gallery/marijuana-arrests-numbers
Mass Incarceration: The Whole Pie
https://www.prisonpolicy.org/reports/pie2016.html
Follow KQED:
KQED: http://www.kqed.org/
Facebook: https://www.facebook.com/KQED/
Twitter: https://twitter.com/KQED?lang=en
Teachers follow KQED Learning
KQED Learning: https://ww2.kqed.org/learning/
Facebook: https://www.facebook.com/KQEDLearning/
Twitter: https://twitter.com/KQEDedspace?lang=en
About KQED
KQED, an NPR and PBS affiliate in San Francisco, CA, serves Northern California and beyond with a public-supported alternative to commercial TV, Radio and web media.
Funding for Above the Noise is provided in part by S.D. Bechtel, Jr. Foundation, David Bulfer and Kelly Pope, Horace W. Goldsmith Foundation, The Dirk and Charlene Kabcenell Foundation, The Koret Foundation, Gordon and Betty Moore Foundation, Smart Family Foundation, The Vadasz Family Foundation and the members of KQED.
Life Noggin : Loving this series!!!!
Deep Look : It's great you are exploring real-world examples of algorithms that impact our daily life. Thanks for applying some science, ATN!
MisterTracks : Great video! Keep it up
IsYitzach : The problem with algorithms is that they appear to be unbiased. But if we train the algorithm with biased data that we generate, then the algorithm will inherit that bias. Because people trust algorithms to be unbiased, they assume the result to be unbiased when it is only reinforcing the biased we trained it with.
The examples presented may be okay, but I would want to see research to check for bias results before they get too much sway.
Hey, Folks! : Man. This was really good. Glad I subscribed.
Honestly I feel like the problem with the algorithm is self fulfilling prophecies like you mentioned for minorities and weed use.
If a person is considered a felon the odds of them committing a future crime seems pretty high to me since they are going to have a nigh impossible time finding a job. Even though, by definition, a felon has served the time for their crime once they are out.
Sorta stuff I don't expect to ever impact me personally since I'm a desperate square. But I do think its one of those things where the goals of the algorithm will largely determine whether it does well by people or not.
Social networking algorithms prioritize interactions. This is because their goal is to get more eyes on advertising that passes by. Ultimately this appears to highlight and spread more bombastic ideologies more widely. Because for or against those things fuel discourse (good or bad).
Anywho, its better than just having random schmoes decide. But its something that would need constant monitoring and research imo.
마약왕은 검거되고, 마리화나는 합법되고. 다른 나라 가서 마약은.....[최변의 쏼라쏼라]
마리화나
캐나다 합법
조지아 합법
멕시코 합법...
이제 곧 뉴욕까지 합법될듯 합니다;;
#쏼라쏼라 #최변 #최재원 #부산변호사 #마약 #불법 #합법
법무법인 시우 최재원 변호사
✔ 시우 홈페이지: www.siwoolaw.kr
✔ 이메일: jwchoi@siwoolaw.kr
✔ 연락처: 010-9201-6699
배영혁 : .
.
최변
안 꽤째째한데요
참 멋져요
마약
하면안되지
공부 참 잘했어요.
힘내요 ~~~❤❤❤
[목공소] 마리화나 합법화 된 이유! / 안락사 - 케보르키안 박사의 후예들! / 부모 허락없이 5세 아이의 생명줄 끊었다고! / 주성철 목사의 미국 이야기
이번 회차에서는 우리 근처에 까지 와 있는 마리화나 합법화 이후의 일들 대처와 네바다주에서 '의사 보조 자살' 법안 합법화를 저지시킨 태평양법율협회의 활약, 부모의 허락 없이 5세 어린이의 생물줄을 끊은 카이저 퍼머넨트 병원과의 오랜 법적 공방, 그리고 세리토스 선교교회가 시의회와 소방소, 경찰서에 찾아가 벌인 일 등 다양한 소재를 다뤘습니다. 많이 시청해 주시고 구독과 좋아요 그리고 많이 전달해 주세요. 감사합니다.
목공소는 '목회공동연구소'의 약자입니다. 미주 지역의 목회자들을 중심으로 목회 사역 현장의 이야기와 연구를 통해 교회의 부흥과 성도들의 영적 성장을 도모합니다.
구독과 알람설정 좋아요 꾸욱 눌러주세요^^
#목공소 #목회공동연구소 #주성철목사
태평양법률협회, 종교자유, 부모권리, 인권옹호, 미국목회이야기, 미국목회, 미국신앙생활, 브레드데쿠스 박사, 목회공동연구소
Eugene Jinho Choy : Thank you!
Eugene Jinho Choy : 수고가 많으십니다!
Host Myles Bess takes a deeper look at how algorithms are being used in the criminal justice system -- and whether not computer programs make better predictions about criminal behavior than humans.
SUBSCRIBE to Above the Noise: [https://www.youtube.com/abovethenoise?sub_confirmation=1]
ABOVE THE NOISE is a show that cuts through the hype and takes a deeper look at the research behind controversial and trending topics in the news. Hosted by Myles Bess and Shirin Ghaffary.
*NEW VIDEOS EVERY OTHER WEDNESDAY*
It’s no big secret that the United States has a prison problem. We lock up people at higher rates than any other nation, and there are huge racial disparities in who we lock up. According to a study from The Sentencing Project, in state prisons, African Americans are incarcerated 5 times more than whites. There are lots of reasons for why we may see this racial disparities, including
law enforcement practices, crime rates, and punitive sentencing policies. Keeping so many people in prison is really expensive-- it costs about $80 billion dollars a year-- and it contributes to racial inequalities in America. As a result, there’s a big push among both Democrats and Republicans to reform our prison system. And one popular strategy many people advocate for as part of this reform effort are risk assessment tools. The tools use data to predict whether a person will commit a future crime. This video explores how these tools work and some of the controversy surrounding their use.
What do you think does a better job of predicting someone’s risk of committing a future crime -- data-driven algorithms or human judgement?
Check out some of these tools:
Sample of COMPAS Tool (Obtained by ProPublica):
https://www.documentcloud.org/documents/2702103-Sample-Risk-Assessment-COMPAS-CORE.html
http://www.northpointeinc.com/downloads/research/DCJS_OPCA_COMPAS_Probation_Validity.pdf (Appendix A: page 32)
Indiana Risk Assessment System Tools: http://www.pretrial.org/download/risk-assessment/Indiana%20Risk%20Assessment%20System%20(April%202010).pdf
Missouri Tool:
http://www.mosac.mo.gov/page.jsp?id=45500
Virginia: (Appendix D, page 132)
http://www.vcsc.virginia.gov/risk_off_rpt.pdf
In-depth article on this topic:
https://ww2.kqed.org/lowdown/2017/06/01/can-algorithms-predict-criminal-behavior/
Sources:
Risk Assessment in Criminal Sentencing https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2662082#
Risk Assessment Instruments Validated and Implemented in Correctional Settings in the United States: An Empirical Guide
https://csgjusticecenter.org/wp-content/uploads/2014/07/Risk-Assessment-Instruments-Validated-and-Implemented-in-Correctional-Settings-in-the-United-States.pdf
Risk Needs Assessment in the Criminal Justice System
https://fas.org/sgp/crs/misc/R44087.pdf
Bureau of Justice Statistics
https://www.bjs.gov/index.cfm?ty=pbdetail\u0026iid=5177
Incarceration gap widens between whites and blacks
http://www.pewresearch.org/fact-tank/2013/09/06/incarceration-gap-between-whites-and-blacks-widens/
Marijuana Arrests by the Numbers
https://www.aclu.org/gallery/marijuana-arrests-numbers
Mass Incarceration: The Whole Pie
https://www.prisonpolicy.org/reports/pie2016.html
Follow KQED:
KQED: http://www.kqed.org/
Facebook: https://www.facebook.com/KQED/
Twitter: https://twitter.com/KQED?lang=en
Teachers follow KQED Learning
KQED Learning: https://ww2.kqed.org/learning/
Facebook: https://www.facebook.com/KQEDLearning/
Twitter: https://twitter.com/KQEDedspace?lang=en
About KQED
KQED, an NPR and PBS affiliate in San Francisco, CA, serves Northern California and beyond with a public-supported alternative to commercial TV, Radio and web media.
Funding for Above the Noise is provided in part by S.D. Bechtel, Jr. Foundation, David Bulfer and Kelly Pope, Horace W. Goldsmith Foundation, The Dirk and Charlene Kabcenell Foundation, The Koret Foundation, Gordon and Betty Moore Foundation, Smart Family Foundation, The Vadasz Family Foundation and the members of KQED.
Life Noggin : Loving this series!!!!
Deep Look : It's great you are exploring real-world examples of algorithms that impact our daily life. Thanks for applying some science, ATN!
MisterTracks : Great video! Keep it up
IsYitzach : The problem with algorithms is that they appear to be unbiased. But if we train the algorithm with biased data that we generate, then the algorithm will inherit that bias. Because people trust algorithms to be unbiased, they assume the result to be unbiased when it is only reinforcing the biased we trained it with.
The examples presented may be okay, but I would want to see research to check for bias results before they get too much sway.
Hey, Folks! : Man. This was really good. Glad I subscribed.
Honestly I feel like the problem with the algorithm is self fulfilling prophecies like you mentioned for minorities and weed use.
If a person is considered a felon the odds of them committing a future crime seems pretty high to me since they are going to have a nigh impossible time finding a job. Even though, by definition, a felon has served the time for their crime once they are out.
Sorta stuff I don't expect to ever impact me personally since I'm a desperate square. But I do think its one of those things where the goals of the algorithm will largely determine whether it does well by people or not.
Social networking algorithms prioritize interactions. This is because their goal is to get more eyes on advertising that passes by. Ultimately this appears to highlight and spread more bombastic ideologies more widely. Because for or against those things fuel discourse (good or bad).
Anywho, its better than just having random schmoes decide. But its something that would need constant monitoring and research imo.
마약왕은 검거되고, 마리화나는 합법되고. 다른 나라 가서 마약은.....[최변의 쏼라쏼라]
마리화나
캐나다 합법
조지아 합법
멕시코 합법...
이제 곧 뉴욕까지 합법될듯 합니다;;
#쏼라쏼라 #최변 #최재원 #부산변호사 #마약 #불법 #합법
법무법인 시우 최재원 변호사
✔ 시우 홈페이지: www.siwoolaw.kr
✔ 이메일: jwchoi@siwoolaw.kr
✔ 연락처: 010-9201-6699
배영혁 : .
.
최변
안 꽤째째한데요
참 멋져요
마약
하면안되지
공부 참 잘했어요.
힘내요 ~~~❤❤❤
[목공소] 마리화나 합법화 된 이유! / 안락사 - 케보르키안 박사의 후예들! / 부모 허락없이 5세 아이의 생명줄 끊었다고! / 주성철 목사의 미국 이야기
이번 회차에서는 우리 근처에 까지 와 있는 마리화나 합법화 이후의 일들 대처와 네바다주에서 '의사 보조 자살' 법안 합법화를 저지시킨 태평양법율협회의 활약, 부모의 허락 없이 5세 어린이의 생물줄을 끊은 카이저 퍼머넨트 병원과의 오랜 법적 공방, 그리고 세리토스 선교교회가 시의회와 소방소, 경찰서에 찾아가 벌인 일 등 다양한 소재를 다뤘습니다. 많이 시청해 주시고 구독과 좋아요 그리고 많이 전달해 주세요. 감사합니다.
목공소는 '목회공동연구소'의 약자입니다. 미주 지역의 목회자들을 중심으로 목회 사역 현장의 이야기와 연구를 통해 교회의 부흥과 성도들의 영적 성장을 도모합니다.
구독과 알람설정 좋아요 꾸욱 눌러주세요^^
#목공소 #목회공동연구소 #주성철목사
태평양법률협회, 종교자유, 부모권리, 인권옹호, 미국목회이야기, 미국목회, 미국신앙생활, 브레드데쿠스 박사, 목회공동연구소
Eugene Jinho Choy : Thank you!
Eugene Jinho Choy : 수고가 많으십니다!
... 
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