About GAIGANow
Promotes
Promotes the need for the early multilateral and global governance of AI.
Builds
Builds a broad alliance of NGOs, academia, and other stakeholder groups.
Engages
Works with that broader alliance to engage like-minded states.
Catalyses
Works with those states and other stakeholders to bring about the timely multilateral and global governance of AI.

AI Safety
Ethics
Equity
Interoperability
Why is AI governance needed?
Artificial Intelligence is a source of significant benefit to humanity. However, it also carries serious risks: catastrophic, ethical, equitable, and interoperable, that need to be addressed.
Safe
AI poses potentially catastrophic and existential safety and security risks, such as the misuse of advanced AI by bad actors and the possible loss of control over the systems themselves.
Ethical
AI currently poses serious ethical risks, including bias, threats to privacy, surveillance, and misinformation.
Equitable
The development of AI is currently controlled by a small number of companies and states, exacerbating a significant global imbalance and hindering an equitable balance of resources.
Interoperable
AI is a cross-border technology, where differences in regulation greatly complicate the determination of liability and effective interoperability.
Why is AI governance urgent?
Why does AI governance need to be global?
The governance relating to ensuring that advanced AI is safe must be truly global so as to minimise the catastrophic risk of unregulated behaviour leading to the AI system being accessed by bad actors, or to the loss of control of the AI.
AI safety regulations must be designed to ensure no jurisdiction shopping - no regulatory arbitrage. The key is that AI systems can act across borders through the ubiquitous internet connections. AI safety is not just a national issue; it is a global imperative.
The development of AI Platforms is currently controlled by a small number of companies and states, creating significant global imbalances.
The world’s future is being shaped now, and urgent steps are needed to ensure a fairer, more inclusive AI-driven era, preventing the permanent concentration of power and wealth in a few companies and states. If left unchecked, this trajectory will entrench monopolies, marginalise entire regions, and erode the foundations of democratic and open societies.
AI technology is a global topic more than any other. An AI system could be conceived in country A, developed in country B, on a platform belonging to a provider from country C, and delivered to a company in country D for its customers in that country and neighbouring country E.
What if something goes wrong? Who does the customer want redress from, and in what jurisdiction? The greater the similarity or “interoperability” among the jurisdictions, the more straightforward the resolution of any legal issues, protection of the customers, and legal certainty of the businesses.

Recognising the Red Lines Initiative
At GAIGANow, we actively support global efforts to safeguard humanity from the risks of unchecked artificial intelligence. In line with this, we encourage engagement with initiatives such as Red Lines, a call endorsed by global leaders and experts, which sets out clear boundaries and promotes responsible governance to ensure AI development serves the common good.
Frequently Asked Questions
What are the main types of AI, and how do they differ from one another?
Initial development of AI has been in the form of Narrow AI. But as well as becoming more capable, AI has also been developed with a broader scope. Artificial General Intelligence (AGI) is at least as capable as an individual human being in every cognitive capability, including what is known as general knowledge and common sense. Superintelligence is an AGI that is at least as capable as the entirety of humanity in every cognitive capability.
What is global governance, and why does it play an important role?
Global governance relates to the manner in which an issue, such as artificial intelligence, is managed globally. Global governance can take different, forms from binding international treaties to soft law and codes of conduct. It is vital for coordination and helping to ensure peace and stability within the world.
What role does regulation play in shaping the future of AI?
Regulation is a subset of governance. Some parts of the world, such as the European Union and China, have clear regulations that control the way in which AI can be used by law. Many other states, however, currently use voluntary measures or no measures at all.
What are the biggest challenges facing global governance today?
There are three main challenges facing the governance of AI today. First, there are major differences in the way countries consider the main risks that should be addressed. Secondly, there is tension between the two main developers of AI systems (the US and China), making cooperation and negotiation difficult. Third, compared to the risks posed by existing AIs, the emergence of AGI poses urgent new challenges, but these are often omitted from consideration.
How can we ensure that AI remains beneficial and aligned with human values?
We cannot be certain that AI will remain beneficial and aligned with human values, which is why many people argue for a pause in the development of more powerful AI systems. There are ideas as to how AI might be kept beneficial and aligned with human values, and these ideas are being pursued – but with less effort than the world needs.
What are the main risks associated with artificial intelligence?
The most immediate AI risks are ethical (e.g., bias, surveillance), but arguably the most serious are the catastrophic risks that could arise from advanced AI in the hands of bad actors or from the loss of control of an advanced AI.
Can AI systems become uncontrollable or act unpredictably?
All generative AI systems today, from time to time, do unpredictable things. Current AI systems can be controlled, but they have already shown signs of seeking to deceive the human controller. It is not currently known how humans will be able to control much more advanced AI systems.



