Building Knowledge for an AI-Driven Urban Future

Building Knowledge for an AI-Driven Urban Future

Welcome to the latest edition of Urban Tales, our newsletter dedicated to exploring the evolving landscape of urban development. In this issue, we spotlight the in-depth conversations between the Mayor and Pepet about developing knowledge and expertise for an AI-driven urban future.

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Chapter #49: Building Knowledge for an AI-Driven Urban Future

In Carpolis, a city steeped in tradition yet eyeing the future, the Mayor and Pepet sat once again in the ornate chamber overlooking the bustling main square. Today’s conversation had a focused urgency. They weren’t discussing bike lanes or public squares but something fundamentally transformative: the power and potential of Artificial Intelligence (AI) to reshape the city.

Pepet, ever prepared, opened with some insights he had gathered. “Mayor, cities worldwide are integrating AI to streamline services and improve quality of life. A recent study shows that 75% of cities have begun adopting AI, expecting great gains in areas like mobility, public safety, water management, and urban planning. For Carpolis, AI could be a game-changer in these exact areas, especially if we want a future where efficiency, security, and environmental consciousness guide our city’s growth.”

The Mayor leaned in, visibly intrigued. “So, AI could make managing Carpolis smoother? But doesn’t this require a lot of new skills, tools, and… training?” He looked at Pepet, his enthusiasm tempered by a hint of apprehension. “We have dedicated city workers, but would they even know where to begin?”

Pepet nodded. “That’s precisely why the initial steps are so critical. The same study highlights a problem: while many cities jump into AI, around 20% of chief tech managers and over 55% of public workers involved lack the necessary expertise. This can lead to costly mistakes, or worse, AI systems that don’t actually solve our problems. If we’re serious about AI, we need to prioritize training.”

The Mayor took a deep breath. “And the areas you mentioned – mobility, water, waste management, safety, planning… they’re all vital for us. How would AI make a difference?”

“Take public safety, for instance,” Pepet explained. “AI can predict patterns that indicate potential hazards, helping law enforcement be proactive rather than reactive. In mobility, AI can optimize traffic flows based on real-time data, minimizing congestion and cutting down on emissions.”

“Interesting,” the Mayor mused. “But Pepet, AI isn’t just plug-and-play, right? It seems like every city’s needs are different.”

“Exactly,” Pepet replied. “There’s no one-size-fits-all solution, which is why having knowledgeable, well-trained staff is essential. The responsible application of AI in cities requires tailored solutions, taking into account each city’s unique infrastructure, needs, and goals. Carpolis has specific challenges: a car-centric layout, seasonal tourist surges, and environmental concerns. Our team must understand not only how to use AI but how to implement it responsibly to avoid unintended side effects.”

“Unintended side effects?” the Mayor raised an eyebrow.

“Imagine this,” Pepet said. “Without a clear strategy, we could end up with AI solutions that increase inequality or compromise privacy. This is why cities must develop AI strategies that prioritize inclusivity, resilience, and transparency. Training and capacity-building for our workforce will empower them to ensure that AI benefits everyone in Carpolis, not just the well-resourced or tech-savvy.”

The Mayor nodded thoughtfully, “It’s a bit like learning to drive, then… but learning to drive a very complex, very powerful car.”

“Spot on,” Pepet agreed with a grin. “And just like driving, it requires both a roadmap and skilled drivers. Training can bridge the current knowledge gap, laying a foundation of digital and AI literacy for our city’s employees. With the right skills, they’ll be prepared to manage AI tools and shape solutions that genuinely meet Carpolis’s needs.”

The Mayor considered this, finally speaking with determination. “Let’s not rush, Pepet. We’ll make the investments necessary to train our team and build expertise. We’ll start with the basics, ensuring our staff understands AI principles. Then, we’ll gradually bring in the technologies best suited for our city. And you, Pepet, you’ll help us navigate the rest.”

“Absolutely,” Pepet replied, heartened by the Mayor’s commitment. “In the end, Mayor, it’s about preparing Carpolis to become a city not just of the 21st century, but one equipped for whatever challenges and opportunities the future might hold. With skilled people at the helm, we’ll be ready.” And all this was happening in Carpolis, a city that wanted to change its name.

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References

Ben Dhaou, S., Isagah, T., Distor, C., & Ruas, I. C. (2024). Global assessment of responsible AI in cities: Research and recommendations to leverage AI for people-centred smart cities. United Nations Human Settlements Programme (UN-Habitat). Retrieved from https://collections.unu.edu/eserv/UNU:9789/UN-Habitat_2024_Ben_Dhaou__Isagah__Distor__Ruas_compressed.pdf

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