Indirect Use of Big Data Analytics in US Courts

Dwight Steward () and Roberto Cavazos ()
Additional contact information
Dwight Steward: EmployStats
Roberto Cavazos: University of Baltimore

Chapter Chapter 5 in Big Data Analytics in U.S. Courts, 2019, pp 69-74 from Palgrave Macmillan

Abstract: Abstract Big Data and generally accepted statistical knowledge are at the center of many decisions and rulings in US courts. Even in circumstances where statistics and Big Data knowledge are generally accepted, fact finders still need to be aware of, and in some instances scrutinize, the underlying assumptions of this generally accepted knowledge. In addition, the use of Big Data has grown dramatically in the last decade and many organizations are reliant on third parties to meet their actual or perceived data needs. In these instances, a customer cannot test drive and check under the hood of a Big Data solution and is at the mercy of a software vendor’s product. This chapter illustrates the major issues with the use of Big Data.

Keywords: Credit history; Hiring; Wrongful death and injury; Equity (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:paiecp:978-3-030-31780-5_5

Ordering information: This item can be ordered from
http://www.palgrave.com/9783030317805

DOI: 10.1007/978-3-030-31780-5_5

Access Statistics for this chapter

More chapters in Palgrave Advances in Economics of Innovation and Technology from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().