Personalizing default rules and disclosure with big data /

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Bibliographic Details
Author / Creator:	Strahilevitz, Lior Jacob, author.
Imprint:	Chicago, Illinois : Law School, University of Chicago, April 7, 2014.
Description:	online file (1 video file) (49 min., 08 sec.) : digital, stereo, MP3.
Language:	English
Series:	Chicago's best ideas Chicago's best ideas.
Subject:	Big data -- Social aspects. Wills -- United States. Contracts -- United States. Data mining. Big data -- Social aspects. Contracts. Data mining. Wills. United States.
Format:	E-Resource Video
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/9974359

Hidden Bibliographic Details
Other authors / contributors:	University of Chicago. Law School, host institution.
Notes:	Series statement from event webpage, viewed May 6, 2014. Recorded April 7, 2014, posted April 24, 2014. Descption based on online resource; title from title screen (May 6, 2014).
Summary:	"The laws of intestacy are the same for men and women even though preferences for how one's estate should be divided differ by gender. Peanut-allergic octogenarian men and gluten-allergic pregnant women see the same warnings on consumer products even though they are interested in seeing information that is much better tailored to them. Companies have made enormous strides in studying and classifying groups of consumers, and yet almost none of this information is put to use by providing consumers with contractual default terms or disclosures that are tailored to their preferences and attributes. This lecture will explore the costs and benefits of personalizing various parts of American law and business practices."--Law School faculty podcast webpage.

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