Research output: Other contribution
Research output: Other contribution
}
TY - GEN
T1 - Biometric Mirror
T2 - Exploring Ethical Opinions towards Facial Analysis and Automated Decision-Making
AU - Wouters, Niels
AU - Kelly, Ryan
AU - Velloso, Eduardo
AU - Wolf, Katrin
AU - Ferdous, Hasan Shahid
AU - Newn, Joshua
AU - Joukhadar, Zaher
AU - Vetere, Frank
PY - 2019/6/18
Y1 - 2019/6/18
N2 - Facial analysis applications are increasingly being applied to inform decision-making processes. However, as global reports of unfairness emerge, governments, academia and industry have recognized the ethical limitations and societal implications of this technology. Alongside initiatives that aim to formulate ethical frameworks, we believe that the public should be invited to participate in the debate. In this paper, we discuss Biometric Mirror, a case study that explored opinions about the ethics of an emerging technology. The interactive application distinguished demographic and psychometric information from people's facial photos and presented speculative scenarios with potential consequences based on their results. We analyzed the interactions with Biometric Mirror and media reports covering the study. Our findings demonstrate the nature of public opinion about the technology's possibilities, reliability, and privacy implications. Our study indicates an opportunity for case study-based digital ethics research, and we provide practical guidelines for designing future studies.
AB - Facial analysis applications are increasingly being applied to inform decision-making processes. However, as global reports of unfairness emerge, governments, academia and industry have recognized the ethical limitations and societal implications of this technology. Alongside initiatives that aim to formulate ethical frameworks, we believe that the public should be invited to participate in the debate. In this paper, we discuss Biometric Mirror, a case study that explored opinions about the ethics of an emerging technology. The interactive application distinguished demographic and psychometric information from people's facial photos and presented speculative scenarios with potential consequences based on their results. We analyzed the interactions with Biometric Mirror and media reports covering the study. Our findings demonstrate the nature of public opinion about the technology's possibilities, reliability, and privacy implications. Our study indicates an opportunity for case study-based digital ethics research, and we provide practical guidelines for designing future studies.
U2 - 10.1145/3322276.3322304
DO - 10.1145/3322276.3322304
M3 - Other contribution
T3 - DIS 2019 - Proceedings of the 2019 ACM Designing Interactive Systems Conference
ER -