Bioprediction, Biomarkers, and Bad Behavior : Scientific, Legal, and Ethical Challenges
Book Details
Format
Hardback or Cased Book
ISBN-10
0199844186
ISBN-13
9780199844180
Publisher
Oxford University Press Inc
Imprint
Oxford University Press Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
Nov 7th, 2013
Print length
264 Pages
Weight
590 grams
Dimensions
24.20 x 15.60 x 2.00 cms
Product Classification:
Ethical issues: scientific & technological developmentsSocial lawNeurosciences
Ksh 18,950.00
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Many decisions in law and elsewhere depend on predictions of crimes and mental illnesses. Can biology make these predictions more accurate? Do we want our government to use biology in this way? These questions and more are discussed in this volume by prominent scientists, ethicists, and legal scholars.
Many decisions in the legal system and elsewhere depend on predictions of bad behaviors, including crimes and mental illnesses. Some scientists have suggested recently that these predictions can become more accurate and useful if they are based in part on biological information, such as brain structure and function, genes, and hormones. The prospect of such bioprediction, however, raises serious concerns about errors and injustice. Can biological information significantly increase the accuracy of predictions of bad behavior? Will innocent or harmless people be mistakenly treated as if they were guilty or dangerous? Is it fair to keep people in prisons or mental institutions longer because of their biology? Will these new instruments of bioprediction be abused in practice within current institutions? Is bioprediction worth the cost? Do we want our government to use biology in this way? All of these scientific, legal, and ethical questions are discussed in this volume. The contributors are prominent neuroscientists, psychologists, sociologists, philosophers, ethicists, and legal scholars. This volume will interest everyone with hopes that bioprediction will solve problems or fears that bioprediction will be applied unjustly.
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