Don’t let AI fall into the climate trap

AI and Climate Change: Avoiding the Fall into the Climate Trap

Artificial intelligence (AI) and climate change are two pressing issues that have captured the attention of experts and the public alike. While AI holds immense potential to address various challenges, including climate change, it is crucial to learn from the mistakes made in combating climate change to ensure AI is harnessed for the benefit of humanity. In this article, we will explore the need for globally coordinated regulation in AI, draw parallels between AI and climate change, and discuss the importance of avoiding the pitfalls of climate change governance when it comes to AI. Let’s delve deeper into this critical topic.

The Global Challenges

AI and climate change are both global challenges that require collective efforts. The patchwork of national controls that have been attempted to tackle climate change has proven ineffective. Similarly, in the realm of AI, international cooperation is necessary to ensure its responsible development and use. While climate change poses numerous threats with minimal upsides, AI has the potential to transform various domains positively. It can revolutionize cancer treatment, alleviate poverty, and even aid in addressing climate change itself.

The Need for Scientific Consensus

Scientific consensus plays a crucial role in coordinating efforts to combat challenges effectively. Climate change experts have faced the challenge of coordinating actions due to the lack of consensus in the past. On the other hand, AI experts are currently grappling with divisions over the potential harms and benefits of AI. Establishing an Intergovernmental Panel on Artificial Intelligence (IPAI) could offer a solution. However, the IPAI would need to be more nimble than its climate counterpart, considering the rapid advancements in AI technology.

Learning from Climate Change Governance

Drawing lessons from climate change governance is essential to ensure effective AI regulation. The Intergovernmental Panel on Climate Change (IPCC) was established in 1988 and has played a vital role in raising awareness and guiding climate change policies. However, the glacial pace of progress and the need for consensus among nearly 200 countries have hindered substantial action. In some instances, political interference has impeded the adoption of crucial IPCC reports. While climate COPs (Conference of the Parties) serve valuable purposes, they also highlight the challenges that AI governance should avoid.

International Collaboration for AI

International collaboration is gaining recognition as a necessary step in addressing AI’s challenges. Different models, such as the International Atomic Energy Agency and the International Civil Aviation Organization, provide frameworks for global cooperation in other domains. The United Nations, which houses the climate secretariat, offers valuable insights for establishing international collaboration on AI. Annual meetings and treaties like the Kyoto Protocol and the Paris Agreement have set climate targets, although emissions still remain at record levels. As AI governance takes shape, it is crucial to find the right balance between collaboration and efficiency.


As the world grapples with the potential of AI and the urgency of combating climate change, there are crucial lessons to be learned. Global coordination, scientific consensus, and international collaboration are key elements for addressing these challenges effectively. By avoiding the pitfalls of climate change governance, we can ensure that AI works for the betterment of humanity. It is essential to regulate AI in a responsible and coordinated manner, harnessing its potential while mitigating potential risks.


1. What is the relationship between AI and climate change?

AI and climate change are both global challenges that require coordinated efforts. While AI has the potential to address climate change and other pressing issues, it is essential to regulate its development and use responsibly.

2. Why is international collaboration important for AI governance?

International collaboration allows for shared knowledge, resources, and best practices in AI governance. It helps in establishing global standards and ensuring that AI is developed and used in a responsible and ethical manner.

3. What can we learn from climate change governance when it comes to AI?

Climate change governance provides valuable lessons on the importance of scientific consensus, international cooperation, and avoiding political interference. It highlights the need for efficient decision-making processes to address global challenges effectively.

4. How can an Intergovernmental Panel on Artificial Intelligence (IPAI) help?

An IPAI can serve as a platform for scientific consensus, policy guidance, and coordination among AI experts and policymakers. However, it should be more agile and responsive to the fast-paced advancements in AI technology.

5. What is the role of AI in addressing climate change?

AI can play a significant role in addressing climate change by enabling more accurate climate modeling, optimizing energy systems, supporting sustainable practices, and facilitating climate adaptation and mitigation strategies.