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In this book “The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future”, Ben Green focus on how big data, AI and machine learning could promote more efficient and livable cities, without sacrificing civil liberties and social justice. Warning us against the exclusively technical view of urban life, he underlines the need to recognize the complexity of urban life rather than see the city as something to optimize. The book is part of the Strong Ideas series, published with the support of the MIT Libraries.
This report presents a European view of Artificial Intelligence (AI) based on independent research and analysis by the European Commission Joint Research Centre to inform the debate at the European level. Shedding light on the opportunities as well as challenges emerging from the recent developments in AI, this report attempts to outline the way towards building a human-centred, diverse, and socially driven AI. 
In this article, the authors shed light on the challenge of underutilizing the big data generated by smart cities from a machine learning perspective. In particular, they discuss the phenomenon of wasting unlabeled data and they argue that semi-supervision is a must for smart cities to address this challenge. Finally, they propose a three-level learning framework for smart cities that matches the hierarchical nature of big data generated by smart cities.