An Autonomous Architecture that Protects the Right to Privacy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The advent and widespread adoption of wearable cameras and autonomous robots raises important issues related to privacy. The mobile cameras on these systems record and may re-transmit enormous amounts of video data that can then be used to identify, track, and characterize the behavior of the general populous. This paper presents a preliminary computational architecture designed to preserve specific types of privacy over a video stream by identifying categories of individuals, places, and things that require higher than normal privacy protection. This paper describes the architecture as a whole as well as preliminary results testing aspects of the system. Our intention is to implement and test the system on ground robots and small UAVs and demonstrate that the system can provide selective low-level masking or deletion of data requiring higher privacy protection.

Original languageEnglish (US)
Title of host publicationAIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society
PublisherAssociation for Computing Machinery, Inc
Pages330-334
Number of pages5
ISBN (Electronic)9781450360128
DOIs
StatePublished - Dec 27 2018
Event1st AAAI/ACM Conference on AI, Ethics, and Society, AIES 2018 - New Orleans, United States
Duration: Feb 2 2018Feb 3 2018

Publication series

NameAIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Other

Other1st AAAI/ACM Conference on AI, Ethics, and Society, AIES 2018
CountryUnited States
CityNew Orleans
Period2/2/182/3/18

Fingerprint

Cameras
Robots
Unmanned aerial vehicles (UAV)
Testing

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Wagner, A. R. (2018). An Autonomous Architecture that Protects the Right to Privacy. In AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (pp. 330-334). (AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society). Association for Computing Machinery, Inc. https://doi.org/10.1145/3278721.3278768
Wagner, Alan Richard. / An Autonomous Architecture that Protects the Right to Privacy. AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, 2018. pp. 330-334 (AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society).
@inproceedings{6c098f52b3ac46f690e227f60892631e,
title = "An Autonomous Architecture that Protects the Right to Privacy",
abstract = "The advent and widespread adoption of wearable cameras and autonomous robots raises important issues related to privacy. The mobile cameras on these systems record and may re-transmit enormous amounts of video data that can then be used to identify, track, and characterize the behavior of the general populous. This paper presents a preliminary computational architecture designed to preserve specific types of privacy over a video stream by identifying categories of individuals, places, and things that require higher than normal privacy protection. This paper describes the architecture as a whole as well as preliminary results testing aspects of the system. Our intention is to implement and test the system on ground robots and small UAVs and demonstrate that the system can provide selective low-level masking or deletion of data requiring higher privacy protection.",
author = "Wagner, {Alan Richard}",
year = "2018",
month = "12",
day = "27",
doi = "10.1145/3278721.3278768",
language = "English (US)",
series = "AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society",
publisher = "Association for Computing Machinery, Inc",
pages = "330--334",
booktitle = "AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society",

}

Wagner, AR 2018, An Autonomous Architecture that Protects the Right to Privacy. in AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, Association for Computing Machinery, Inc, pp. 330-334, 1st AAAI/ACM Conference on AI, Ethics, and Society, AIES 2018, New Orleans, United States, 2/2/18. https://doi.org/10.1145/3278721.3278768

An Autonomous Architecture that Protects the Right to Privacy. / Wagner, Alan Richard.

AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, 2018. p. 330-334 (AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - An Autonomous Architecture that Protects the Right to Privacy

AU - Wagner, Alan Richard

PY - 2018/12/27

Y1 - 2018/12/27

N2 - The advent and widespread adoption of wearable cameras and autonomous robots raises important issues related to privacy. The mobile cameras on these systems record and may re-transmit enormous amounts of video data that can then be used to identify, track, and characterize the behavior of the general populous. This paper presents a preliminary computational architecture designed to preserve specific types of privacy over a video stream by identifying categories of individuals, places, and things that require higher than normal privacy protection. This paper describes the architecture as a whole as well as preliminary results testing aspects of the system. Our intention is to implement and test the system on ground robots and small UAVs and demonstrate that the system can provide selective low-level masking or deletion of data requiring higher privacy protection.

AB - The advent and widespread adoption of wearable cameras and autonomous robots raises important issues related to privacy. The mobile cameras on these systems record and may re-transmit enormous amounts of video data that can then be used to identify, track, and characterize the behavior of the general populous. This paper presents a preliminary computational architecture designed to preserve specific types of privacy over a video stream by identifying categories of individuals, places, and things that require higher than normal privacy protection. This paper describes the architecture as a whole as well as preliminary results testing aspects of the system. Our intention is to implement and test the system on ground robots and small UAVs and demonstrate that the system can provide selective low-level masking or deletion of data requiring higher privacy protection.

UR - http://www.scopus.com/inward/record.url?scp=85061043121&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061043121&partnerID=8YFLogxK

U2 - 10.1145/3278721.3278768

DO - 10.1145/3278721.3278768

M3 - Conference contribution

AN - SCOPUS:85061043121

T3 - AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

SP - 330

EP - 334

BT - AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

PB - Association for Computing Machinery, Inc

ER -

Wagner AR. An Autonomous Architecture that Protects the Right to Privacy. In AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc. 2018. p. 330-334. (AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society). https://doi.org/10.1145/3278721.3278768