TY - GEN
T1 - Interactive Media in Public Spaces:: Ethics of Surveillance, Privacy and Bias
AU - Herruzo, Ana
N1 - Publisher Copyright:
© 2022, Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - When designing public interactive environments, new advances in computing and data collection techniques from the users can enhance the public’s engagement and interaction with the designed space. Consequently, ethical questions arise as the ambiguity surrounding user information extraction and analysis may lead to privacy issues and biases. This paper examines topics of surveillance, privacy, and bias through two interactive media projects exhibited in public spaces. In particular, this paper focuses on analyzing the curation and manipulation of a database of an AI-powered and computer vision-based interactive installation that uses advances in computing such as DeepLearning and Natural Language Processing but runs into privacy and gender bias issues. This paper aims to showcase how decision-making, data curation, and algorithmic processes can directly impact and reinforce surveillance, privacy, and bias in public spaces.
AB - When designing public interactive environments, new advances in computing and data collection techniques from the users can enhance the public’s engagement and interaction with the designed space. Consequently, ethical questions arise as the ambiguity surrounding user information extraction and analysis may lead to privacy issues and biases. This paper examines topics of surveillance, privacy, and bias through two interactive media projects exhibited in public spaces. In particular, this paper focuses on analyzing the curation and manipulation of a database of an AI-powered and computer vision-based interactive installation that uses advances in computing such as DeepLearning and Natural Language Processing but runs into privacy and gender bias issues. This paper aims to showcase how decision-making, data curation, and algorithmic processes can directly impact and reinforce surveillance, privacy, and bias in public spaces.
KW - Artificial intelligence
KW - Ethics
KW - Media architecture
UR - http://www.scopus.com/inward/record.url?scp=85127714589&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127714589&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-1280-1_9
DO - 10.1007/978-981-19-1280-1_9
M3 - Conference contribution
AN - SCOPUS:85127714589
SN - 9789811912795
T3 - Communications in Computer and Information Science
SP - 135
EP - 150
BT - Computer-Aided Architectural Design. Design Imperatives
A2 - Gerber, David
A2 - Pantazis, Evangelos
A2 - Bogosian, Biayna
A2 - Nahmad, Alicia
A2 - Miltiadis, Constantinos
PB - Springer Science and Business Media Deutschland GmbH
T2 - 19th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2021
Y2 - 16 July 2021 through 18 July 2021
ER -