AI governance involves developing frameworks and policies to ensure the responsible development and deployment of AI systems capable of human-level intelligence, addressing potential risks and maximizing societal benefits. 

Source: Gemini

The European Union’s approach to AI policy, as reflected in the AI Act, aims to foster trustworthy AI that respects fundamental rights, safety, and ethical principles, while also boosting innovation and establishing the EU as a global AI leader through a risk-based, comprehensive, and flexible regulatory framework.

Many Asian countries are taking a business-friendly approach to AI regulation, prioritizing innovation and economic growth over strict regulatory mandates. However, the growing influence of AI in critical industries such as healthcare, finance and defense means regulatory oversight is evolving.

Source: Navex

In 2025, the U.S. AI policy is characterized by a focus on enhancing global AI leadership, promoting human flourishing, and addressing the risks associated with AI, particularly regarding national security and the spread of misinformation.

• The Trump administration’s policy, established through Executive Order 14179, aims to remove barriers to American AI innovation and establish the U.S. as a global leader in AI. This includes revising and reissuing OMB memoranda to ensure efficient acquisition and governance of AI across the federal government.
• In the absence of comprehensive federal AI legislation, US states are actively shaping AI policy, with initiatives ranging from government AI use guidelines to consumer protection measures and studies on AI’s impact.

Source: Other

The UN is actively developing AI policy, focusing on ethical, human rights-based, and mandate-led approaches, with the UN Secretary-General promoting proactive AI adoption across the UN system to support innovation and address potential harms.

The UN system is committed to taking a proactive, ethical, human rights-based and mandate-led approach to adopting AI internally in its work. Under the vision outlined in the UN 2.0 Policy Brief, the Secretary-General is promoting a proactive approach for UN system organizations to use new technologies, such as AI, to support all steps of the innovation process, to address gender inequality, discrimination and bias in artificial intelligence data models, and to invest in predictive and prescriptive analytics, enhanced with machine learning and artificial intelligence.

The High-Level Expert Panel on Artificial General Intelligence (AGI), convened by the UN Council of Presidents of the General Assembly (UNCPGA), has released its final report titled “Governance of the Transition to Artificial General Intelligence (AGI) Urgent Considerations for the UN General Assembly” outlining recommendations for global governance of AGI.

The panel, chaired by Jerome Glenn, CEO of The Millennium Project, includes leading international experts, such as Renan Araujo (Brazil), Yoshua Bengio (Canada), Joon Ho Kwak (Republic of Korea), Lan Xue (China), Stuart Russell (UK and USA), Jaan Tallinn (Estonia), Mariana Todorova (Bulgaria Node Chair), and José Jaime Villalobos (Costa Rica), and offers a framework for UN action on this emerging field.

The report has been formally submitted to the President of the General Assembly, and discussions are underway regarding its implementation. While official UN briefings are expected in the coming months, the report is being shared now to encourage early engagement.

Source: Millennium Project

Artificial general intelligence (AGI) is a type of highly autonomous artificial intelligence (AI) intended to match or surpass human cognitive capabilities across most or all economically valuable cognitive tasks. This contrasts with narrow AI, which is limited to specific tasks.

Artificial superintelligence (ASI), on the other hand, refers to AGI that greatly exceeds human cognitive capabilities. AGI is considered one of the definitions of strong AI.

There is debate on the exact definition of AGI and regarding whether modern large language models (LLMs) such as GPT-4 are early forms of AGI.[9] AGI is a common topic in science fiction and futures studies.

Contention exists over whether AGI represents an existential risk. Many experts on AI have stated that mitigating the risk of human extinction posed by AGI should be a global priority. Others find the development of AGI to be in too remote a stage to present such a risk.

Source: Wikipedia