Today, advances in AI-enabled are bringing advances in a generation of biology, transforming science and making roads safer.
But this is just the beginning.
If you fully utilize this opportunity, you can guide a new era of discovery. Empowers scientists across fields to solve problems that were once thought to be impossible at a rate that was thought to be impossible.
So, as global decision makers and technology leaders head towards the Artificial Intelligence Action Summit in Paris next week, the message to policymakers is clear. AI can revolutionize science and have great benefits for people and society, but it does not guarantee continuous progress. This is only possible through immediate and sustained actions on the part of the private and public sectors.
Opportunities to advance science in the age of AI
AI is already beginning to allow for groundbreaking advancements in science. Change the way scientific research is carried out, dramatically accelerated scientific processes (sometimes condensing centuries or thousands of years of traditional experiments and research and research in months or days; Scientists can see many things in new ways at the same time. AI also allows more people to participate in research.
For example, Alphafold alone has access to 2.5 million researchers in 190 countries. It also created many of the advancements powered by AI, connected, pangenome, weather, materials science, climate modeling landmarks and AI that are widely available to scientists. All this creates moments of great opportunity. It brings concrete benefits to people who drive real-world problems and economic growth.
But realizing this immense potential of AI in science requires more than just a technical breakthrough. It calls for collaborative efforts to build a foundation for continuous progress.
Countries that want to lead here need to work together to implement infrastructure, investment and legal frameworks that support scientists, engineers and a culture of continuous innovation.
To give policy makers instant and practical steps, we are releasing policy frameworks to build the future of science with AI today.
Three Messengers in the Science of the AI Era:
Infrastructure – Increase access to AI infrastructure. Most scientists don’t need to train their own large-scale AI models, but they can fine-tune large models, run simulations to generate high-quality data, or small-scale with specialized data Resources must be accessed to train AI models. Additionally, without the established infrastructure for AI-powered scientific research and development, we need to devote our energy to align computing resources, data and model access and become proficient with AI tools. Therefore, it is essential for governments to build the infrastructure they need to make AI-enabled research tools and resources more accessible to more scientists in more places. They can accomplish this by setting up National AI at the Science Resource Center, as well as Educational Resources (NAIRR), which allows access to AI research with high-quality data, AI models, computing power, software and educational resources.
Investment – Investment in AI science. Groundbreaking scientific discoveries require long-term commitment and sustainable investment. Over the years, government funding has been a key role in supporting ambitious basic research efforts, promoting cooperation between the academia, industry and the public sector, and attracting additional private (foreign or domestic) investments. It has been fulfilled. Governments should prepare a list of priority areas to direct funding and encourage research cooperation through public issues aimed at solving the most pressing issues. New public-private partnerships and fundraising models can play a key role in fostering thriving ecosystems and building a strong pool of scientific and engineering talent.
Innovation – Implements a legal framework for science and promotion of support. The accelerating global AI competition requires supporting innovation while establishing a framework for risky applications. Regulation uncertainty slows innovation and creates barriers for scientists and private investors. To address this issue, governments need to establish a pro-infringement regulatory regime that supports the responsible and reasonable use of data, a flexible copyright framework, and harmonious data privacy laws. Trade policies need to support cross-border data flows and increase the diversity of data needed to discover AI.
There are even more challenges that AI can solve. There are also many ways that the nation can work together to promote major AI-driven breakthroughs.
Governments with the right policy and investment framework will help accelerate scientific progress by clearing ways in which scientists continue to provide the kind of breakthrough that will promote a bright future for people everywhere. Masu.
