Ethics, AI, and Urban Governance

Cities are expanding, and many are becoming “smarter.” Big data is being collected through sensors and the Internet of Things (IoT), while artificial intelligence (AI) processes this data. As smart cities evolve, policymakers must understand both the opportunities and risks of AI and be equipped with strategies to manage them effectively.

To responsibly implement AI in public services, it is crucial that these initiatives address urban challenges in a transparent, accountable, and equitable manner. This course explores strategies for achieving this, drawing from human-centered design (HCD), human-centered AI (HCAI), explainable AI (XAI), and deliberative democracy. Throughout the course, students will develop a nuanced understanding of the potential opportunities and risks associated with AI in smart cities. They will be introduced to strategies that mitigate these risks, such as HCD, HCAI, and XAI. Students will apply these approaches to case study research and craft policy recommendations for an urban governance challenge in a city of their choice. By engaging with this work, they will gain experience in mapping current and future user journeys related to urban challenges.

Additionally, students will become familiar with the 'Three Horizons Method,' using it to identify opportunities for disruption and innovation. This method will also help inform wise action in the face of uncertainty. Students will synthesize their findings into personas and journey maps, leveraging these insights to propose innovative solutions that address complex urban governance issues.