This article examines bias exhibited through machine vision, over optimization in machine learning, representation for previously unrepresented stakeholders, and agency within the context of a speculative city council meeting. In this paper, I present a project that purposely shows bias in order to reveal how easily machine learning algorithms can problematize a situation. I also have created representatives in the form of Artificial Intelligent systems for both human and non-human communities. I identified a scenario, voting for the removal of traffic lights, as a medium to discuss the topic of bias and representation. This work contributes to the discourses of speculative design and civics in design research.
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