Abstract
In this paper we discuss and analyze possible futures for technologies in the field of computer vision (CV). Using a method we have coined speculative analysis we take a broad look at research trends in the field to categorize risks, analyze which ones are most threatening and likely, and ultimately summarize conclusions for how the field may attempt to stem future harms caused by CV technologies. We develop narrative case studies to provoke dialogue and deeply explore possible risk scenarios we found to be most probable and severe. We arrive at the position that there are serious potentials for CV to cause discriminatory harm and exacerbate cybersecurity issues.
Original language | English |
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Title of host publication | Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
Publisher | IEEE Computer Society |
Pages | 1368-1377 |
Number of pages | 10 |
ISBN (Electronic) | 9781538607336 |
DOIs | |
State | Published - 22 Aug 2017 |
Event | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States Duration: 21 Jul 2017 → 26 Jul 2017 |
Publication series
Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
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Volume | 2017-July |
ISSN (Print) | 2160-7508 |
ISSN (Electronic) | 2160-7516 |
Conference
Conference | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
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Country/Territory | United States |
City | Honolulu |
Period | 21/07/17 → 26/07/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.