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Artificial Intelligence and Judicial Modernization

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Cover of 'Artificial Intelligence and Judicial Modernization'

Table of Contents

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    Book Overview
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    Chapter 1 AI—A Historical Opportunity for Judicial Modernization
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    Chapter 2 Application of AI in Judicial Practice
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    Chapter 3 AI—An Effective Way to Judicial Modernization
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    Chapter 4 AI Assistive System for Criminal Cases in Shanghai
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    Chapter 5 Honor and Ambition: Shanghai High People’s Court Undertakes the Project of AI Assistive Software Development
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    Chapter 6 Exploration, Practice and Breakthrough
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    Chapter 7 The Basic Structure and Functions of the 206 System
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    Chapter 8 The Main Functions of the 206 System
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    Chapter 9 High-Techs Applied in the 206 System
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    Chapter 10 Remarkable Effects Achieved by the 206 System
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    Chapter 11 Extending to Civil and Administrative Fields—The Launch of Shanghai AI Assistive System for Civil and Administrative Cases
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    Chapter 12 Grasping the Opportunities of the Era, Keeping a Close Eye on the Frontiers of Science and Technology and Promoting Judicial Modernization
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    Chapter 13 Following the Law of Justice, Promoting Human-Machine Collaboration to Better Serve the Judiciary
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    Chapter 14 Building AI-Assisted Rule of Law for the Future, Seeking Advantages and Avoiding Disadvantages to Make AI Better Benefit Mankind
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    Chapter 15 The High-Level Seminar on AI and Rule of Law Yields Fruitful Theoretical Results, Leading the Direction of Development
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Citations

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Title
Artificial Intelligence and Judicial Modernization
Published by
Springer Singapore, December 2019
DOI 10.1007/978-981-32-9880-4
ISBNs
978-9-81-329879-8, 978-9-81-329880-4
Authors

Cui , Yadong

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 12%
Student > Ph. D. Student 7 11%
Lecturer 5 8%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 28 42%
Readers by discipline Count As %
Social Sciences 12 18%
Computer Science 6 9%
Biochemistry, Genetics and Molecular Biology 2 3%
Business, Management and Accounting 2 3%
Linguistics 2 3%
Other 8 12%
Unknown 34 52%