Where are the values?: locating and reasoning 25 years on

Alan Dix

Where are the values? locating and reasoning 25 years on

Alan Dix

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

72 Downloads (Pure)

Abstract

The author's work in the early 1990s identified issues of privacy and bias in complex data processing and blackbox machine learning algorithms. Although some of these have taken time to emerge, they are now major societal issues. This early work has direct lessons, but also suggests that we need to look widely in the way computer systems are designed, produced and deployed to understand the way values become embedded in code. In addition we need new ways to reason about values, both in code and society at large.

Original language	English
Title of host publication	Values in Computing, Proceedings of the CHI 2017 Workshop
Number of pages	4
Publication status	Published - 30 Mar 2017
Event	Values in Computing Workshop at CHI 2017 - Denver, United States Duration: 7 May 2017 → 7 May 2017

Conference

Conference	Values in Computing Workshop at CHI 2017
Country/Territory	United States
City	Denver
Period	7/05/17 → 7/05/17

Keywords

machine learning
social values
Privacy
discrimination

Access to Document

2017-15-chi2017-values-dix-v2
Eligibility for repository: Checked on 13/4/2017
Accepted author manuscript, 850 KBLicence: Creative Commons: Attribution (CC BY)

http://www.valuesincomputing.org/wp-content/uploads/2017/03/dix_where_vic2017.pdfLicence: Creative Commons: Attribution (CC BY)

Cite this

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title = "Where are the values?: locating and reasoning 25 years on ",

abstract = "The author's work in the early 1990s identified issues of privacy and bias in complex data processing and blackbox machine learning algorithms. Although some of these have taken time to emerge, they are now major societal issues. This early work has direct lessons, but also suggests that we need to look widely in the way computer systems are designed, produced and deployed to understand the way values become embedded in code. In addition we need new ways to reason about values, both in code and society at large.",

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AB - The author's work in the early 1990s identified issues of privacy and bias in complex data processing and blackbox machine learning algorithms. Although some of these have taken time to emerge, they are now major societal issues. This early work has direct lessons, but also suggests that we need to look widely in the way computer systems are designed, produced and deployed to understand the way values become embedded in code. In addition we need new ways to reason about values, both in code and society at large.

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KW - discrimination

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