Difference between revisions of "Law"

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<b>Machine Learning in the Criminal Justice Systems | Jens Ludwig | Talks at Google
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<b>Artificial justice: would robots make good judges?
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</b><br>Jens Ludwig, Director of the University of Chicago Crime Lab, talks about applying machine learning to reducing crime in Chicago and other public policy areas.  In 2008, Ludwig helped found the Crime Lab to carry out data-driven methods to prevent crime and violence, and reduce the harms associated with the criminal justice system. Crime Lab’s work on gun policy, reducing crime, and education intervention studies have led to new policy initiatives in a number of US cities.  The Crime Lab been has received coverage on major news outlets such as The New York Times and The Wall Street Journal.  It is also the recent recipient of a $10 million donation from billionaire philanthropist Ken Griffin. Ludwig is the McCormick Foundation Professor of Social Service Administration, Law, and Public Policy at the University of Chicago. He is also a non-resident senior fellow in economic studies at the Brookings Institution, a research associate at the National Bureau of Economic Research (NBER), and co-director of the NBER's Working Group on the Economics of Crime. Ludwig is an economist by training and in 2012 was elected to the Institute of Medicine of the National Academies.
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</b><br>When we want to solve a complicated math problem quickly and accurately, many of us will turn to a calculator without thinking twice. But would you want a machine determining the outcome of a complex legal case? This is the question Jaerin Jo got hung up on after participating in a debate about AI at her school. Jaerin's own father is a judge in South Korea, and imagining a future where robots preside over courtrooms brought up many brain-twisting questions about the appropriate uses of AI and the nature of justice itself. This thought-provoking Talk imagines what an AI justice system might look like, and asks you to consider how you would participate in it. This Talk was given at TED-Ed Weekend in New York City.  
 
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<b>Machine Learning applied to judicial decisions - Danilo Mendes & Yan Teixeira (Legal Labs)
 
<b>Machine Learning applied to judicial decisions - Danilo Mendes & Yan Teixeira (Legal Labs)
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</b><br>
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</b><br>Jens Ludwig, Director of the University of Chicago Crime Lab, talks about applying machine learning to reducing crime in Chicago and other public policy areas. In 2008, Ludwig helped found the Crime Lab to carry out data-driven methods to prevent crime and violence, and reduce the harms associated with the criminal justice system. Crime Lab’s work on gun policy, reducing crime, and education intervention studies have led to new policy initiatives in a number of US cities.  The Crime Lab been has received coverage on major news outlets such as The New York Times and The Wall Street Journal.  It is also the recent recipient of a $10 million donation from billionaire philanthropist Ken Griffin.  Ludwig is the McCormick Foundation Professor of Social Service Administration, Law, and Public Policy at the University of Chicago.  He is also a non-resident senior fellow in economic studies at the Brookings Institution, a research associate at the National Bureau of Economic Research (NBER), and co-director of the NBER's Working Group on the Economics of Crime. Ludwig is an economist by training and in 2012 was elected to the Institute of Medicine of the National Academies.
 
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Revision as of 21:20, 28 August 2020

Youtube search... ...Google search

Artificial Intelligence for Law firms
A webinar on Artificial Intelligence - A beginners guide for small and medium sized law firms

Artificial intelligence and judicial systems
Artificial intelligence (#AI) raises new challenges for #justice and #judicial systems. The European Commission for the Efficiency of Justice of the Council of Europe, through its working group GT-QUAL, is working on it. Watch the video to learn more about this work. More infomation on www.coe.int/justice or www.coe.int/cepej

The world’s first AI legal assistant | Andrew Arruda | TED Institute
s a lawyer, Andrew Arruda too often saw the scales of justice tip in favor of the wealthy and partnered with a computer scientist to create the world’s first artificially intelligent legal assistant, ROSS. By speeding up legal research, Arruda wants ROSS to make the practice of law cheaper and fulfill the original promise of “justice for all.” TED@IBM was a TED-curated event produced in partnership with IBM. The third installment of TED@IBM brought a diverse collection of speakers and performers who recognize that ingenuity starts with one thing: a spark. And regardless of where the spark takes hold, inspiration demands action to reach its greatest potential. About the TED Institute: We know that innovative ideas and fresh approaches to challenging problems can be discovered inside visionary companies around the world. The TED Institute helps surface and share these insights. Every year, TED works with a group of select companies and foundations to identify internal ideators, inventors, connectors, and creators. Drawing on the same rigorous regimen that has prepared speakers for the TED main stage, TED Institute works closely with each partner, overseeing curation and providing intensive one-on-one talk development to sharpen and fine tune ideas.

Meet ROSS, Your Brand New Artificially Intelligent Lawyer
ROSS Intelligence builds artificially intelligent tools to enhance lawyer’s abilities – allowing them to do more than ever before humanly possible.

Intersecting the Future: AI, the future of work and the evolution of law | Beyond our Borders
Laura van Wyngaarden, Co-Founder, Diligen, a machine learning powered project management platform for legal contract review, Toronto, Canada Moderator: David Schwartz, Stanford Clinton Sr. and Zylpha Kilbride Clinton Research Professor of Law

Artificial justice: would robots make good judges?
When we want to solve a complicated math problem quickly and accurately, many of us will turn to a calculator without thinking twice. But would you want a machine determining the outcome of a complex legal case? This is the question Jaerin Jo got hung up on after participating in a debate about AI at her school. Jaerin's own father is a judge in South Korea, and imagining a future where robots preside over courtrooms brought up many brain-twisting questions about the appropriate uses of AI and the nature of justice itself. This thought-provoking Talk imagines what an AI justice system might look like, and asks you to consider how you would participate in it. This Talk was given at TED-Ed Weekend in New York City.

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Machine Learning applied to judicial decisions - Danilo Mendes & Yan Teixeira (Legal Labs)
Jens Ludwig, Director of the University of Chicago Crime Lab, talks about applying machine learning to reducing crime in Chicago and other public policy areas. In 2008, Ludwig helped found the Crime Lab to carry out data-driven methods to prevent crime and violence, and reduce the harms associated with the criminal justice system. Crime Lab’s work on gun policy, reducing crime, and education intervention studies have led to new policy initiatives in a number of US cities. The Crime Lab been has received coverage on major news outlets such as The New York Times and The Wall Street Journal. It is also the recent recipient of a $10 million donation from billionaire philanthropist Ken Griffin. Ludwig is the McCormick Foundation Professor of Social Service Administration, Law, and Public Policy at the University of Chicago. He is also a non-resident senior fellow in economic studies at the Brookings Institution, a research associate at the National Bureau of Economic Research (NBER), and co-director of the NBER's Working Group on the Economics of Crime. Ludwig is an economist by training and in 2012 was elected to the Institute of Medicine of the National Academies.

Machine Learning applied to judicial decisions - Danilo Mendes & Yan Teixeira (Legal Labs)
The need for technology applied to the legal sector has been a very relevant issue in the Brazilian scenario. The volume of processes is huge and the traditional methods of process analysis and execution no longer account for the demand. The process was physical, then turned digital, we inaugurated the next phase: intelligence on the mass litigations. The amount of Brazilian lawsuits shows a crisis scenario that is, at the same time, an important generator of opportunities. In this talk, we show how we developed Dra. Luzia, who was trained to make decisions in mass litigations. To do so, we elucidate how data mining and the application of machine learning, including deep learning, were applied in the development of the Artificial Intelligence platform Dra. Luzia. We believe that the Brazilian Judiciary will begin to use IA soon. This will directly impact the speed of procedural steps. Danilo Mendes: Researcher, Developer and Project Manager at Legal Labs with a degree in Software Engineering from the University of Brasília. He has worked on embedded projects to help disabled people and in web and mobile applications for companies and institutions. He was a researcher at California State University, Fullerton, with the goal of re-creating multidimensional sound for hearing aids. Participated in the conception, creation and development of Dr. Luzia.

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Artificial Intelligence and Law – An Overview and History

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