Page 32 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

5�4 Computing and AI: Endless frontier and exploration

Wang Jian, Director at Zhejiang Lab gave a keynote talk highlighting the following areas where
computing and AI will play a key transformative role:

• Relationship between computing and AI:
o Computing and AI are deeply interconnected, akin to two sides of the same coin. Alan
Turing's early work emphasized computing as a tool to extend human intelligence,
much like pen and paper. Today, AI is amplifying human creativity and problem-solving
abilities.
o Computing is not just a subset of computer science but a fundamental discipline
parallel to fields like physics and life sciences, forming the foundation upon which AI
is built.
• AI as a transformative tool for science:

o AI is revolutionizing scientific research by enabling scientists to achieve breakthroughs
that would have been impossible otherwise. Examples include projects like GeoGPT,
an AI system designed to assist geoscientists in data sharing, research collaboration,
and discovery.
o The Deep Time Digital Earth Initiative and related projects demonstrate how AI can
provide innovative tools for researchers, with applications in geoscience, classification,
and open science.

• AI and space exploration:

o The speaker envisions a future where AI and computing are integral to space
exploration. Initiatives like the Three-Body Computing Constellation aim to process
multi-source data directly in space, reducing the need to send data back to Earth.
o Proposed computing satellites would complement existing satellite types
(communication, navigation, and observation) to perform advanced in-orbit processing,
enabling real-time collaboration for phenomena like gamma-ray bursts and solar
observations.
• AI as a fundamental scientific tool

o AI is becoming as essential to science as mathematics, applicable across various
disciplines. The development of domain-specific foundation models tailored for
scientific data (beyond text) will further enhance AI’s role in advancing research and
innovation.
o Shared infrastructures, such as the open platform 02x.org, aim to democratize access
to AI capabilities and foster global collaboration among scientists.
• Governance and safety in AI

o Governance is critical for ensuring AI and computing technologies are used responsibly.
The GeoGPT governance committee is a notable example of how structured oversight
can address safety, ethical, and intellectual property (IP) concerns in scientific
applications of AI.
o Open science practices, such as those demonstrated in GeoGPT projects, highlight
the importance of transparency and collaboration in advancing technology for the
benefit of humanity.

• Global challenges and collaboration:

o AI and computing can help address pressing global challenges, such as climate change
and disasters stemming from natural hazards, by enabling deeper understanding

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