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How a public-private consortium could lead to democratic global AI governance
By Rufo Guerreschi  |  Mar 13, 2024
How a public-private consortium could lead to democratic global AI governance
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An open and democratic public-private consortium for AI would sustain growth, transparency, and competition, while averting an over-concentration of power and AI safety risks, argues Trustless Computing Association founder and President Rufo Guerreschi.

GENEVA - A public-private initiative led by a wide coalition of globally-diverse states - possibly via the timely convergence of OpenAI's calls for democratic global governance of artificial intelligence (AI) and its USD7 trillion supply chain plan - could result in an open and democratic public-private consortium and the federal, intergovernmental organization that the world needs to manage AI for humanity, if carefully designed. 

Achieving and sustaining a solid “mutual assured dependency” on its wider AI supply chain vis-à-vis various superpowers will foster democratic re-globalization, peace, abundance, and liberty, while affording a better chance of staving off the immense risks AI poses to human safety and concentration of power. 

The current chief executive of  the Netherlands’ Advanced Semiconductor Materials Lithography (ASML), the world leader in chip lithography, suggested in a recent video interview that European Union states join forces to achieve and sustain a solid “mutual dependency” in the supply chain of AI and its chips. This idea emerged as the key asset of economic and military competition - and differs greatly from the pursuit of ‘full autonomy’ that nations, China among them, are seeking in response to United States export controls.

Countries that come together as part of such an international public-private initiative - possibly also extending beyond the EU - will achieve and sustain full digital sovereignty and bolster their economies, even without achieving full industrial autonomy.

Such an initiative will benefit from the participation of influential nations such as Germany and the Netherlands, since they host globally unique assets in the AI supply chain - such companies as ASML, Zeiss, and Trumpf are notable examples - though these also depend on US and other foreign firms. Taiwan - with its unique AI chip manufacturing an

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