The impact of AI on intelligence analysis: tackling issues of collaboration, algorithmic transparency, accountability, and management

TY - JOUR

T1 - The impact of AI on intelligence analysis

T2 - tackling issues of collaboration, algorithmic transparency, accountability, and management

AU - Vogel, Kathleen M.

AU - Reid, Gwendolynne

AU - Kampe, Christopher

AU - Jones, Paul

N1 - Funding Information: This material is based upon work supported in whole or in part with funding from the Laboratory for Analytic Sciences (LAS). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the LAS and/or any agency or entity of the United States Government. We also acknowledge support of the Alan Turing Institute for the writing of this paper while Vogel was a Rutherford Fellow. Funding Information: This material is based upon work supported in whole or in part with funding from the Laboratory for Analytic Sciences (LAS). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the LAS and/or any agency or entity of the United States Government. We also acknowledge support of the Alan Turing Institute for the writing of this paper while Vogel was a Rutherford Fellow.

PY - 2021

Y1 - 2021

UR - http://www.scopus.com/inward/record.url?scp=85110008652&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85110008652&partnerID=8YFLogxK

U2 - 10.1080/02684527.2021.1946952

DO - 10.1080/02684527.2021.1946952

M3 - Article

AN - SCOPUS:85110008652

VL - 36

SP - 827

EP - 848

JO - Intelligence and National Security

JF - Intelligence and National Security

SN - 0268-4527

IS - 6

ER -