Abstract
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.
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Herruzo, A. (2022). Interactive Media in Public Spaces:. In: Gerber, D., Pantazis, E., Bogosian, B., Nahmad, A., Miltiadis, C. (eds) Computer-Aided Architectural Design. Design Imperatives: The Future is Now. CAAD Futures 2021. Communications in Computer and Information Science, vol 1465. Springer, Singapore. https://doi.org/10.1007/978-981-19-1280-1_9
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