Page 33 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

and innovative solutions. The vision of Earth intelligence is an example of how AI can
improve planetary observation and problem-solving.
o Collaboration across organizations, countries, and disciplines is essential for tackling
complex challenges. Initiatives like the Three-Body Computing Constellation emphasize
the importance of collective effort to achieve ambitious goals. AI Part 1: International
• The future of AI and computing:

AI and computing will be indispensable companions for humanity’s journey to Mars and beyond.
AI’s capabilities will continue to redefine what is possible, both on Earth and in space, driving
innovation and exploration.

Figure 22: Wang Jian, Director, Founder of Alibaba Cloud, Zhejiang Lab

5�5 AI and multimedia authenticity

Alessandra Sala, Senior Director of AI Data Science at Shutterstock and Chair of the AI and
Multimedia Authenticity Standards Collaboration (AMAS) presented the key achievements of
AMAS and highlighted the following in her intervention:

a) Generative AI has transformative potential but also introduces risks like misinformation
and disinformation, identified by the World Economic Forum and the UN as top global
risks. Examples of risks include:

i. Deepfakes used for gender violence: Non-consensual content targeting women and
activists in vulnerable regions.
ii. Exploitation of children: A 380% rise in child abuse content reported by the UK Internet
Watch Foundation.
iii. Political manipulation: Deepfakes used to polarize societies.

b) These risks threaten societal cohesion, safety, and trust, highlighting the need for
multilateral collaboration.

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