Chapter 2, "Data & Code," co-authored by Arianna Salazar Miranda, Roland van Dierendonck, and Paolo Cirio, delves into the ethics of AI within the context of public data collection. The chapter uses a practical case study on urban policy decision-making regarding air quality and carbon emissions to stimulate discussions on responsible AI governance. It highlights the workshop's initial focus on traffic analysis, where manual car counting was employed to gather data on car models and fuel consumption. The integration of data from various sources and the consideration of environmental impact provided a comprehensive understanding of traffic dynamics in Linz. This analysis contributes to a holistic assessment of the city's traffic situation. Students also conducted traffic video recording and car counting in different locations, using algorithms to analyze car models, fuel consumption, and environmental impact.
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