Further reference Data Sovereignty - footnoted

What are the other contexts where big brothers are aiming to rule over intelligence. Let's consider the corporate context where business processes are blended with ai. We can foresee that in organisations where processes are not transparent ai will expose this. In other words AI for good will counter fake leaders however big their organisation - be this corporate, government or faith-based.

June 13 is very exciting for anyone impacted by what goes on in Washington FC. 25 big corporations and 10 branches of us government pilot their first leaps forward with NAIRR -almost 6 years to 2018 day that congress was first asked to transform attention to million times more computing capacity of accelerated computing architecture.

Please tell us what you make of these pilots if you have time to see them.

NAIRR (and at least 20 nations who listened to Fei-Fe's extraordinary update of Kennedy's declaration of human interdependence is one of 7 DC-anchored "piloting" networks to monitor if you'd like to linkin sustainably to the peoples intelligence: to rise and rise. Mail me if you can help with this diary watch or aim to do this at some other critical location or mother earth chris.macrae@yahoo.co.uk ps pic is from oecd- i dont wholly understand it but need to before France stages 3rd leg of King Charles AI world series.

FOOT

Gemini has started a dialogue on data sovereignty which 2025 reporters clubs advocate as core chat September 2024 UNsummitFuture

Here's how "data sovereignty" can be interpreted in the context of wanting everyone to connect with very good AI and whether King Charles' endorsement of the AI World Series is an example of good LLM data sovereignty:

Data Sovereignty and Good AI:

Proponents of data sovereignty who advocate for everyone to connect with very good AI likely see it as a way to:

• Ensure Control and Transparency: They might believe that by keeping data within national borders or under the control of specific communities, they can ensure its responsible use and prevent misuse by external actors. This could be particularly important for sensitive data used to train AI systems.
• Promote Diversity and Inclusion: Data sovereignty could be seen as a way to encourage the development of AI that reflects the values and needs of specific regions or communities. By using locally sourced data, AI could be less biased towards dominant cultures or perspectives.
• Mitigate Risks: Some might worry about the potential for powerful AI systems to be used for malicious purposes. Data sovereignty could be seen as a way to mitigate these risks by limiting access to sensitive data.

King Charles' AI World Series Endorsement:

King Charles' endorsement of the AI World Series doesn't directly address data sovereignty. The series focuses on showcasing advancements in AI, not necessarily where the data used to train those systems originates.

Good LLM Data Sovereignty:

Here are some aspects of good LLM data sovereignty in the context of promoting very good AI for everyone:

• Transparency: Clear guidelines and regulations regarding data collection, storage, and use for AI development.
• Accountability: Mechanisms for holding those who develop and deploy AI systems accountable for their actions.
• International Collaboration: While data sovereignty might involve some level of control within regions, international collaboration on ethical AI development standards and best practices remains crucial.

Overall, data sovereignty is a complex issue with both potential benefits and drawbacks. While it might play a role in ensuring everyone connects with "very good" AI, other factors like transparency, accountability, and international collaboration are also essential. King Charles' endorsement is a positive step towards promoting AI, but it doesn't necessarily address the specific aspects of data sovereignty.