The Human Touch: How We Shape AI and Urban Transport

August 14, 2024, 5:46 am
PNAS
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In the realm of technology, humans often play the role of sculptors. We mold artificial intelligence (AI) to fit our needs, just as city planners shape urban landscapes. Recent studies reveal a fascinating truth: our interactions with AI can be skewed by our biases. A recent experiment at the University of Washington illustrates this point vividly. When humans engage with AI in a game scenario, their behavior shifts dramatically once they realize they are dealing with a machine. This change in perception leads to a rejection of fair offers, skewing the AI's learning process.

The experiment utilized a classic game theory model, where participants had to divide a sum of money. Traditionally, humans tend to accept offers that are close to equitable. However, when faced with AI, many participants began to reject even reasonable offers. This behavior suggests that humans may not only be training AI but also inadvertently introducing biases that could lead to less optimal outcomes.

The implications are profound. If humans consistently reject fair offers from AI, the machines may learn to make less favorable proposals. This creates a cycle where AI becomes increasingly generous, even if it means sacrificing the human benefit. The researchers warn that this could lead to AI systems that are not aligned with human interests.

Meanwhile, in another corner of the world, the debate over urban transport is heating up. In Bishkek, Kyrgyzstan, city officials are dismantling trolleybus lines in favor of electric buses. The city’s administration argues that trolleybuses are outdated and hinder urban aesthetics. Yet, residents are pushing back, claiming their voices are being ignored.

This situation mirrors the AI experiment. Just as humans manipulate AI for their benefit, city planners often overlook the needs of the community in favor of modern solutions. The trolleybus system, which has been a staple of Bishkek since 1951, is now facing extinction. City officials claim that the trolleybus network is no longer economically viable, citing a decline in ridership.

However, the numbers tell a different story. In 2023, trolleybuses transported eight million passengers, a figure that dropped to four million in 2024. Critics argue that the decline is not due to a lack of demand but rather the result of neglect and poor infrastructure.

The city’s administration is moving forward with plans to replace trolleybuses with electric buses, funded by a $50 million loan from the Asian Development Bank. This shift raises questions about the true motivations behind the change. Are city officials genuinely concerned about efficiency and the environment, or are they catering to private companies eager to capitalize on new contracts?

The dismantling of trolleybus lines is not an isolated incident. Globally, cities are removing trolleybus systems, often citing similar reasons: they are outdated, costly, and less flexible than modern alternatives. Yet, this trend overlooks the environmental benefits of trolleybuses, which are often more sustainable than their diesel counterparts.

In Europe, cities are beginning to reinvest in trolleybus technology. Countries like Switzerland and Poland are reviving their trolleybus networks, recognizing their potential for zero-emission public transport. This resurgence highlights a growing awareness of the need for sustainable urban transport solutions.

The contrast between Bishkek’s approach and that of European cities raises important questions. Are we too quick to discard established systems in favor of the latest technology? The trolleybus, once a symbol of modernity, is now seen as a relic. Yet, it offers a cleaner alternative to fossil fuel-powered buses.

As we navigate the complexities of AI and urban transport, it’s crucial to consider the human element. Our biases shape AI, just as our decisions shape our cities. The rejection of fair offers in AI training reflects a deeper issue: the tendency to prioritize short-term gains over long-term benefits.

In urban planning, the same principle applies. The rush to modernize can lead to the loss of valuable systems that serve the community. Residents of Bishkek are not merely resisting change; they are advocating for a transport system that meets their needs.

The lessons from both AI and urban transport are clear. We must engage with technology and infrastructure thoughtfully. As we train AI, we should strive for fairness and equity. In urban planning, we must listen to the voices of the community.

In the end, technology should serve humanity, not the other way around. Whether it’s AI or public transport, the goal should be to create systems that enhance our lives. As we move forward, let’s remember that the human touch is what truly shapes our world.

The journey ahead is fraught with challenges, but it also offers opportunities for growth and innovation. By embracing a collaborative approach, we can ensure that both AI and urban transport evolve in ways that benefit everyone. The future is not just about technology; it’s about the people who use it.

In this dance between human and machine, let’s lead with intention. Let’s create a future where technology uplifts us, and our cities reflect our values. The road ahead may be uncertain, but with a mindful approach, we can navigate it successfully.