Digital twins and artificial intelligence development prospects in 2024

Artificial intelligence (AI) and digital twins are technology fields that have attracted much attention and are widely used. Here are some of their trends:

1. Implementing generative AI in cities

By 2024, artificial intelligence (AI) will be shaping the urban technology landscape play an important role. Cities have already made great strides, particularly in using artificial intelligence in areas such as traffic management and emergency response. However, the standout development of the past 18 months has been a deeper understanding of the potential of generative AI, particularly in the application of large language models (LLMs).

Generative artificial intelligence, represented by LLM, demonstrates the potential ability of cities to improve efficiency and promote unique interactions with information. Cities are expected to increasingly adopt LLM, primarily to better serve residents. This adoption is not only expected to increase efficiency and productivity, but also aims to bridge the gap between residents’ needs and timely solutions.

However, the widespread integration of artificial intelligence in cities faces many challenges. Privacy concerns, cybersecurity risks and ethical considerations, especially potential bias in AI output, are important issues that cities are grappling with. Cities need to develop appropriate policies and regulations to protect personal privacy and strengthen cybersecurity measures to combat growing security threats. In addition, ethical guiding principles and impartiality requirements also need to be incorporated into the development of artificial intelligence. As cities consider risks, there needs to be a balance between obtaining the productivity gains brought by artificial intelligence tools and ensuring user experience. Discussions of equity and inclusion surround AI model training and become integral to creating user-friendly and relevant tools. This discussion takes place in different urban contexts to ensure that tools are equitable and inclusive.

By 2024, city leaders will increasingly rely on digital twins to solve urban challenges. However, the technical complexity of digital twins is also gradually increasing. Cities are faced with the decision of fine-tuning existing models or relying on pre-trained models. Through a combination of experience and piloting, cities can find ways to best interact with these tools. Such decisions will provide city leaders with better guidance to respond to the needs of urban development.

Despite the excitement about the potential of artificial intelligence, there is also an acknowledgment that even some research scientists still know little about the technology. While larger model and training set sizes lead to better performance, small differences in model training and deployment still require exploration and experimentation.

In 2024, the city has entered a period of trial and error, which is inevitable. During this period, organizations may experience incidents of data protection and misuse, which will prompt citizens to demand more protections when using generative AI tools. Furthermore, disinformation generated by artificial intelligence could have legal implications, particularly in settings such as regulated municipal trading. Therefore, cities need to establish strong measures to address this important issue. Through this period of trial and error, cities will learn lessons to shape widespread and responsible integration of AI.

2. Establishing artificial intelligence regulation at the local level

When it comes to regulating the use of artificial intelligence in cities and balancing national and local government policies, there are some complex issues that need to be carefully considered.

The challenge for current legislation is the rapid development of technology, especially in the last year. In 2024, there will be uncertainty about the capabilities of emerging technologies. The question is whether LLM will experience this if new influential players like OpenAI and Anthropic will reshape the technology landscape, or if established giants like Google and Microsoft will maintain dominance through acquisitions or broad integration of technology. Major improvements.

Cities can be a driving force in developing guidelines for the use of LLM at the local level

At the national government level there tends to be more deliberation and attention to the theoretical issues surrounding technology policy . However, cities are known for their proactive nature and ability to implement and adopt new technologies more quickly. Cities are already using AI tools in business and public service settings, but often without specific regulations. It’s an open secret that these tools are being used, and cities are proactively understanding how employees are using AI in an effort to establish safe practices that minimize risk to residents.

Cities can be the driving force in developing guidelines for the use of LLM at the local level. Recognizing the need for regulation in the absence of a clear national framework, cities can take the lead in developing guidelines to govern the responsible use of AI. This reflects a pragmatic response to the evolving technology landscape and a commitment to ensuring that the benefits of AI are harnessed without compromising the well-being of residents.

The regulation of AI in cities is unfolding as a dynamic and decentralized process, with cities taking the lead in adapting to technological advances and developing guidelines to address the practical challenges posed by the use of AI in what is still a rapidly changing world. Achieve agility and responsiveness in technology environments.

3. Continued Adoption of Digital Twins in Cities

By 2024, the use of digital twins in cities will continue to grow, and their versatility will begin to make them useful to city planners and important tool for leaders.

Resident demands for faster, more resilient infrastructure growth are driving cities to explore innovative solutions. Digital twins provide the ability to comprehensively map and understand a city’s physical infrastructure. This is especially important in older cities, where projects often expose unexpected pipes, wires and even tunnels. The accurate mapping provided by digital twins allows for better planning and simulation, especially in the face of increasing climate change impacts such as rising sea levels.

By 2024, city leaders will increasingly turn to digital twins to meet the challenges of building faster, denser housing and planning for emerging technologies such as autonomous driving. The simulation capabilities of digital twins enable planners to evaluate scenarios ranging from infrastructure projects to future transportation mode integration.

There is still a connection between the hype surrounding virtual worlds and digital twins, but cities are primarily focused on using digital twins to solve tangible, real-world problems. The driving force behind the adoption of digital twins is their ability to solve real-world challenges, ultimately improving the quality of life of citizens.

Despite the fascinating potential for community engagement in virtual universes, especially among younger generations accustomed to online social interactions, the primary uses of digital twins remain rooted in solving the physical challenges of cities. City leaders may prioritize the tangible benefits of digital twins in improving infrastructure rather than focusing on the virtual and social aspects associated with virtual worlds.

4. Autonomous Transportation Pilots

Despite recent regulatory challenges, we can expect an increase in the deployment of autonomous shuttles and bus drivers. Given the ongoing labor shortage of bus drivers and transit personnel, cities are recognizing the value of autonomous public transit, especially those capable of accommodating higher passenger throughput.

On the other hand, widespread adoption of electric vertical takeoff and landing (eVTOL) aircraft in the skies seems like a more distant vision. While pilots and partnerships are promising, practical challenges such as vertiport planning and noise control remain, not to mention the complexity of the regulatory environment.

Justifying such pilot investments in the face of more pressing, pressing urban transportation issues can be difficult.

While eVTOLs have some interesting use cases, particularly in areas such as search and rescue and medical transportation, the idea of ​​passengers regularly commuting between regional hubs in eVTOLs is a long-term vision.

There is public fatigue when it comes to projects that, while potentially useful, are considered flashy. As the public seeks solutions to public transit, congestion and safety issues, city leaders and mayors around the world may find it challenging to maintain support for such pilots.

Justifying such pilot investments in the face of more pressing, pressing urban transportation issues can be difficult. As we move forward, the focus will likely shift toward practical and impactful solutions that directly address the daily challenges faced by residents in urban environments.

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