This report describes trade-offs in the design of international governance arrangements for civilian artificial intelligence (AI) and presents one approach in detail. This approach represents the extension of a standards, licensing, and liability regime to the global level. We propose that states establish an International AI Organization (IAIO) to certify state jurisdictions (not firms or AI projects) for compliance with international oversight standards. States can give force to these international standards by adopting regulations prohibiting the import of goods whose supply chains embody AI from non-IAIO-certified jurisdictions. This borrows attributes from models of existing international organizations, such as the International Civilian Aviation Organization (ICAO), the International Maritime Organization (IMO), and the Financial Action Task Force (FATF). States can also adopt multilateral controls on the export of AI product inputs, such as specialized hardware, to non-certified jurisdictions. Indeed, both the import and export standards could be required for certification. As international actors reach consensus on risks of and minimum standards for advanced AI, a jurisdictional certification regime could mitigate a broad range of potential harms, including threats to public safety.

Anyone who has been following the news on AI in 2022 knows of the high rate of AI project failures. Somewhere between 60-80% of AI projects are failing according to different news sources, analysts, experts, and pundits. However, hidden among all that doom and gloom are the organizations who are succeeding. What are those 20% of organizations doing that are setting themselves apart from the failures, leading their projects to success? Surprisingly, it has nothing to do with the people they hire or the technology or products they use.

The bio-tech industry is developing at an accelerated rate with the advancement of Artificial Intelligence. The hopes of creating smart cities, extending life spans, cloning, printing organs and body parts are within the horizon. Tech companies have connected themselves with governments, law enforcement, education, media and celebrities to bring forth their vision of the Fourth Industrial Revolution to the populous. Something I described in my recent book The Great Reset: How big tech elites and the worlds people can be enslaved by China CCP or AI. The issue with the Fourth Industrial Revolution or The Great Reset is lack of ethics.

While artificial intelligence (AI) has the potential to revolutionize a number of industries, the technology isn't without its controversies. Over the past few years, researchers and developers have raised concerns around the potential impacts of widespread AI adoption--and how a lack of existing ethical frameworks may put consumers at risk. These concerns may be especially relevant to medical device manufacturers, which are increasingly using AI in new medical devices like smart monitors and health wearables. New standards and regulations on ethical AI may provide essential guidance for medical device manufacturers interested in leveraging AI. The widespread use of AI could pose a number of ethical challenges.

Six months after star AI ethics researcher Timnit Gebru said Google fired her over an academic paper scrutinizing a technology that powers some of the company's key products, the company says it's still deeply committed to ethical AI research. It promised to double its research staff studying responsible AI to 200 people, and CEO Sundar Pichai has pledged his support to fund more ethical AI projects. Jeff Dean, the company's head of AI, said in May that while the controversy surrounding Gebru's departure was a "reputational hit," it's time to move on. But some current members of Google's tightly knit ethical AI group told Recode the reality is different from the one Google executives are publicly presenting. The 10-person group, which studies how artificial intelligence impacts society, is a subdivision of Google's broader new responsible AI organization.

Bioengineering of human beings have been tried throughout the world by the Military Industrial Complex, secret labs, governments, and corporations. I unclassified this information with relation to China on Aug 24th, 2019 with the publication of AI, Trump, China and the Weaponization with Robotics with 5G, and the last 2 books, Artificial Intelligence Dangers to Humanity and The Great Reset: How Big Tech Elites and the World's People Can Be Enslaved by China CCP or A.I.. In December, the Pentagon verified The AI Organization's findings with serius concern, as it pertains to the CCP and China. Imagine a future, where gen edited babies raised to become Super Soldiers meant for military dominance and assassination's of public figures. This can be a reality in numerous intricate ways. As I see it, the Chinese regime threatens the lives of the world's people with AI, bioweapons, persecution, soft power, social engineering, and enslavement by using the Art of War.

Artificial Intelligence is necessitating changing organizational structures and the creation of new roles, just as the internet did post-Netscape. The first International Conference on the World Wide Web at CERN outside Geneva Switzerland in May 1994 is commonly recognized as the birthplace of the commercial internet. How business is conducted and who conducts business was forever changed. The internet spawned new businesses, new business models, new ways of doing business and so much more. All of which, over time, required companies to reorganize existing departments, create new internal organizations, invent new roles with people with new skill sets.

An AI organization intends to employ machine learning and data science tools and techniques to automate and/or enhance its manual or rule based businesses processes. This would help that organization to improve efficiency, reduce cost and scale the business. These days most organizations are working to transform themselves into AI organizations, mainly due to recent advances in machine learning methods, cheaper compute and storage and digitization of businesses processes. The entire ecosystem has arrived at a point where this transformation is not a choice but has become a necessity to stay both relevant and competitive in years to come. AI transformation requires an organization to work on many fronts such as infrastructure development, upgrade existing resources, adding new hires, migrate and uplift legacy systems, develop new machine learning models and AI applications, defining security and privacy protocols, reference architecture etc. Unfortunately, most of the organizations are either not ready for this or doing it improperly.

This is phase 1 of first lawsuit. We are open for support at a global level. We have a network of thousands around the world and tens of thousands in China, who are witnesses and have been harmed in China from the defendants technology and data transfer.The following are Federal Case Compliant Summary Facts Extracted from the official document filed in San Diego, California. To find out details of financial, personal and corrective behavioral demands, you may access the case in the federal court data base.

China's Communist Government has extracted over 6 billion peoples biometrics, including facial, voice and personal health data to empower their Quantum Artificial Intelligence program meant for military purposes. This includes almost every American, Canadian, and European persons living today, every person in China, and Less so from groups in Africa, the Middle East, and South America. I initially made the finding public by publishing the discovery in the book AI, Trump, China and the Weaponization of Robotics without providing company names. Later, I included the findings with company names in the updated book Artificial Intelligence Dangers to Humanity. More than 1,000 AI, Robotics and Bio-Metric companies were researched to obtain the results of over 6 billion human beings who have had their bio-metrics stolen or transferred to China.