Discovery and the Evidentiary Foundations of Implicit Bias

Employee Relations Law Journal, Vol. 40, No. 3, 4-33

30 Pages Posted: 3 Feb 2015 Last revised: 28 Aug 2015

See all articles by Allan King

Allan King

Littler Mendelson

Gregory Mitchell

University of Virginia School of Law

Richard Black

Littler Mendelson

Catherine Conway

Gibson Dunn

Julie Totten

Orrick, Herrington & Sutcliffe, LLP

Multiple version iconThere are 2 versions of this paper

Date Written: Winter 2014

Abstract

This article documents the extent to which expert opinions regarding implicit bias rely on research that evades careful scrutiny by either the academic journals or the courts that admit the expert’s testimony, discuss the arguments that shield the data underlying research from discovery, argue for discovery of secondary data notwithstanding the arguments against disclosure, and argue for excluding expert testimony that relies on data beyond the reach of the opposing party.

Keywords: implicit bias, Implicit Association Test, discovery, replication, expert evidence

Suggested Citation

King, Allan and Mitchell, Gregory and Black, Richard and Conway, Catherine and Totten, Julie, Discovery and the Evidentiary Foundations of Implicit Bias (Winter 2014). Employee Relations Law Journal, Vol. 40, No. 3, 4-33, Available at SSRN: https://ssrn.com/abstract=2559162

Allan King

Littler Mendelson ( email )

650 California Street
20th Floor
San Francisco, CA 94108-2693
United States

Gregory Mitchell (Contact Author)

University of Virginia School of Law ( email )

580 Massie Road
Charlottesville, VA 22903
United States
434-243-4088 (Phone)

Richard Black

Littler Mendelson ( email )

650 California Street
20th Floor
San Francisco, CA 94108-2693
United States

Catherine Conway

Gibson Dunn ( email )

Julie Totten

Orrick, Herrington & Sutcliffe, LLP ( email )

1000 Marsh Rd
Los Angeles, CA 94025
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
48
Abstract Views
579
PlumX Metrics