Big data analytics in U.S. courts : uses, challenges, and implications
著者
書誌事項
Big data analytics in U.S. courts : uses, challenges, and implications
（Palgrave advances in the economics of innovation and technology / series editor, Albert N. Link）
Palgrave Macmillan, c2019
大学図書館所蔵 全1件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This Palgrave Pivot identifies the key legal, economic, and policy issues surrounding the allowance to use and interpret electronic data consistently and in a scientifically valid manner in U.S. courts. Evidence based on the analysis of large amounts of electronic data ("Big Data") plays an increasing role in civil court disputes, providing information that could not have been obtained from a witness stand. While Big Data evidence presents opportunities, it also presents legal and public policy challenges and concerns. How can one be sure that deviations found in Big Data fall outside the norm? If statistical analyses can be conducted and presented different ways, how can judges and juries make sense of conflicting interpretations? When does Big Data extraction stop being investigative and instead become an invasion of privacy? This book traces the history of Big Data use in U.S. courts, couples current case studies with legal challenges to explore key controversies, and suggests how courts can change the way they handle Big Data to ensure that findings are statistically significant and scientifically sound.
目次
Data Analytics and Litigation
History of Data Analysis in U.S. Courts
Examples of Litigation Involving Big Data Analytics
The Courts as Gatekeeper of Big Data Evidence
Indirect Use of Big Data Analytics in U.S. Courts
Future Challenges and Recommendations
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