I would like to control my data, and if I was willing, release it for a “labor” 
fee.

 

 

From: [email protected] <[email protected]> On 
Behalf Of Centroids
Sent: Tuesday, February 19, 2019 11:46 AM
To: Centroids Discussions <[email protected]>; Billy Rojas 
<[email protected]>
Subject: [RC] Towards a “Data Labor” Movement?

 

Should We Treat Data as Labor? Moving Beyond 'Free' by Imanol Arrieta Ibarra, 
Leonard Goff, Diego Jiménez Hernández, Jaron Lanier, E. Glen Weyl :: SSRN
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3093683
(via Instapaper <http://www.instapaper.com/> )

  _____  


Should We Treat Data as Labor? Moving Beyond 'Free'


American Economic Association Papers & Proceedings, Vol. 1, No. 1, Forthcoming

5 Pages Posted: 29 Dec 2017 


Imanol Arrieta Ibarra 
<https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872427> 


Stanford University


Leonard Goff <https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872425> 


Columbia University


Diego Jiménez Hernández 
<https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872428> 


Stanford University


Jaron Lanier <https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872422> 


Microsoft Corporation


E. Glen Weyl <https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1186331> 


Microsoft Research New York City; RadicalxChange Foundation; Princeton 
University - Julis Rabinowitz Center for Public Policy and Finance

Date Written: December 27, 2017


Abstract


In the digital economy, user data is typically treated as capital created by 
corporations observing willing individuals. This neglects users' role in 
creating data, reducing incentives for users, distributing the gains from the 
data economy unequally and stoking fears of automation. Instead treating data 
(at least partially) as labor could help resolve these issues and restore a 
functioning market for user contributions, but may run against the near-term 
interests of dominant data monopsonists who have benefited from data being 
treated as 'free'. Countervailing power, in the form of competition, a data 
labor movement and/or thoughtful regulation could help restore balance. 

Keywords: data economy, big data, data as labor, artificial intelligence, 
machine learning, monopsony power

JEL Classification: C55, D40, J42, L96

Suggested Citation: 

Arrieta Ibarra, Imanol and Goff, Leonard and Jiménez Hernández, Diego and 
Lanier, Jaron and Weyl, Eric Glen, Should We Treat Data as Labor? Moving Beyond 
'Free' (December 27, 2017). American Economic Association Papers & Proceedings, 
Vol. 1, No. 1, Forthcoming. Available at SSRN: 
https://ssrn.com/abstract=3093683 


Imanol Arrieta Ibarra 
<https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872427> 


Stanford University ( )


473 Via Ortega
Stanford, CA 94305-9025
United States


Leonard Goff <https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872425> 


Columbia University ( )


New York, NY
United States


Diego Jiménez Hernández 
<https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872428> 


Stanford University ( )


579 Serra Mall
Stanford, CA 94305
United States

HOME PAGE: http://web.stanford.edu/~jimenezh/ 


Jaron Lanier <https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2872422> 


Microsoft Corporation ( )


One Microsoft Way
Redmond, WA 98052
United States


Eric Glen Weyl (Contact Author) 
<https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1186331> 


Microsoft Research New York City ( )


641 Avenue of the Americas
7th Floor
New York, NY 10011
United States
8579984513 (Phone)

HOME PAGE: http://www.glenweyl.com 


RadicalxChange Foundation ( )


HOME PAGE: http://www.radicalxchange.org 


Princeton University - Julis Rabinowitz Center for Public Policy and Finance ( )


Princeton University
Princeton, NJ 08544-1021
United States

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