AI Regulations: What Guidelines Are the United Nations and G7 Planning?

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Global and national entities are advancing AI governance through unique frameworks and collaborations, aiming for responsible AI utilization while managing associated risks. These include the G7 and UN’s frameworks for responsible AI growth. They also include the US and UK’s approaches, which encompass Biden’s Executive Order and the AI Safety Summit being hosted in the UK.

The rapid evolution of Artificial Intelligence (AI) has spurred global and national initiatives aiming for a responsible and safe AI governance framework.

Recently, prominent global entities like the Group of Seven (G7) and the United Nations (UN) have unveiled plans to guide AI’s growth, each with distinct focal points.

While the G7 is geared towards clear guidelines, the UN aims to ignite a global dialogue on responsible AI use.

Meanwhile, nations like the United States and the United Kingdom are stepping forward with their unique strategies, as seen in the US’s executive order on AI governance and the UK’s ongoing AI Safety Summit, showcasing a blend of global collaboration and national action in navigating the AI landscape.

This article delves into these significant global and national endeavors, exploring their objectives, frameworks, and the synergy between them.

G7 and United Nations Launch Guidelines for Safe AI Development and Use

G7 and Responsible Use of AI

As the AI technology landscape rapidly evolves, nations worldwide are making plans to manage it safely. They want to make the most out of AI while examining the risks.


Recently, the G7, a group of seven wealthy countries, and the UN have unveiled plans to handle AI’s growth. While the G7 is focused on setting clear guidelines, the UN wants to start a global dialogue for the responsible and beneficial use of AI.

Here, we’ll look closer at the G7’s Hiroshima AI Process and the UN’s AI advisory group, showing how these big players are getting ready for an AI-driven future.

On October 30, 2023, leaders of the Group of Seven (G7) revealed a plan called the Hiroshima AI Process to manage the growth of AI safely. Here’s a breakdown of their project:

  • Goal: To tap into AI’s potential while keeping a check on risks.
  • What’s New: International Guiding Principles and a Code of Conduct are introduced for organizations developing advanced AI systems.
  • Policy Framework: A detailed plan is to be created by the end of the year to include input from various groups such as governments, schools, and businesses. This outreach and consultation process is meant to engage not just G7 countries but also other countries worldwide.

Key Points of the Hiroshima Process

Accountability and Transparency
  • Organizations are urged to be open about their AI systems’ capabilities and limitations.
  • A call for public reporting to ensure everyone knows what AI systems can and can’t do.
Risk Management
  • Identify and tackle risks early in the development of AI systems.
  • Strong security measures are encouraged to keep data safe.
Content Authentication
  • Develop ways to help users identify AI-generated content, like watermarking.
Addressing Global Challenges
  • Encouragement to use AI for tackling significant issues like climate change, health, and education.
Continuous Improvement
  • The guidelines are not set in stone but will evolve with ongoing discussions and as technology changes.
International Cooperation
  • Work together with other countries and organizations to set common standards and practices.

United Nations’ AI Advisory Framework

On October 26, 2023, just before the G7 introduced the Hiroshima AI Process, the UN Secretary-General announced an advisory body called the High-Level Multistakeholder Advisory Body on Artificial Intelligence. This advisory body aims to use AI responsibly to help solve global issues and ensure all countries, including less developed ones, can access AI technology.

Here’s a quick look at the UN’s new AI initiative:

Main Focus Points:

  • AI Governance: Start global discussions on how to govern AI to get the most benefits and reduce risks.
  • Understanding Risks and Challenges: Look into and tackle the possible dangers of AI, like misinformation and privacy invasion.
  • Using AI for Good: Find ways to use AI in essential areas like public health and education to speed up the achievement of SDGs.

Next Steps: By the end of 2023, the advisory body plans to give initial suggestions in these three areas via an interim report. This report will feed into the Summit of the Future held in September 2024.

AI governance

Source: United Nations

Comparative Insights: G7 versus UN Initiatives

The G7 and the UN have both launched plans to manage AI’s growth safely, but with slightly different focuses. The G7 is more about setting clear rules, while the UN is keen on starting a worldwide conversation on AI’s use and governance.

Here’s a table comparing the two approaches:

G7 Hiroshima AI Process UN’s Advisory Body on AI
Aimed at making rules for safe AI development and use Plans to look into and address AI’s possible risks, such as spreading false info
Hopes to work with other countries to set common practices Wants to start global talks on governing AI to benefit everyone and lower risks
Wants organizations to be clear about what their AI systems can do Aims to use AI to help with global problems like health and education
Encourages tackling risks early and keeping data safe Will share initial ideas by year’s end, feeding into a big summit next September

Global to National: Steering AI Governance

While G7 and the UN are steering the global narrative on AI governance, individual nations, too, are stepping up to the challenge.

The United States and the United Kingdom, both key players in AI, have recently launched efforts to shape AI governance. The US has outlined its approach through an executive order by President Biden, while the UK is hosting the AI Safety Summit on 1 and 2 November 2023.

Through these actions, both countries contribute to the global conversation on AI, bringing their unique national perspectives to help build a stronger and more well-rounded global AI governance framework.

US Executive Order on AI Governance

The executive order lays a framework for managing AI risks, requiring major AI developers to share crucial information with the government pre-release.

This order, one of the initial government regulations on AI, sets standards for AI safety and security, addressing potential AI risks and promoting innovation while ensuring responsible AI use across various sectors.

Key provisions include mandatory sharing of safety test results for advanced AI systems, extensive testing for AI models posing severe risks, and developing a cybersecurity program to leverage AI in identifying software vulnerabilities.

The reaction to this order has been mixed, with advocacy groups appreciating the initiative, while some industry players are expressing concerns over potential innovation stifling.

For a deeper understanding, refer to our in-depth summary article of the Executive Order.

UK’s Initiative: The AI Safety Summit

The AI Safety Summit has gathered leading minds from academia, industry, and government to delve into the critical aspects of frontier AI safety. Frontier AI is defined as competent general-purpose AI models that can perform a wide variety of tasks and match or exceed the capabilities present in today’s most advanced models. In 2023, this primarily includes large language models (LLMs), but a different technology could underpin frontier AI systems.

The discussions covered a broad spectrum of topics, including ethical AI practices, data privacy, and the establishment of robust safety protocols for AI development and deployment.

Key Participants:

  • Governments of 27 different countries
  • Academia and civil society groups
  • Industry and related organizations
  • Multilateral organizations

Here’s a snapshot of the Agenda of the UK AI Safety Summit:

Understanding Frontier AI Risks

  • Global Safety: Discussing the risks of frontier AI misuse on biosecurity and cybersecurity.
  • Unpredictable Advances: Deliberating on the risks from rapid scaling and unpredictable advancements in frontier AI capabilities.
  • Loss of Control: Exploring the potential loss of human control over very advanced AI and its risks.
  • Integration into Society: Discussing the risks of integrating frontier AI into societal frameworks, like elections, and measures to mitigate these risks.

Improving Frontier AI Safety

  • Developer Responsibility: Discussions on responsible capability scaling by frontier AI developers, including risk assessments and governance mechanisms.
  • National Policymaking: Deliberating on policies to manage frontier AI risks, including monitoring and accountability mechanisms.
  • International Collaboration: Identifying areas for international collaboration to manage risks and realize opportunities from frontier AI.
  • Scientific Community’s Role: Discussing the current state of technical solutions for frontier AI safety and identifying urgent research areas.

AI for Good

  • Transforming Education: Discussing the opportunities of AI in transforming education for future generations.

The Bottom Line

The narrative of AI governance is unfolding on both global and national stages, showing a collective effort to maximize AI’s benefits while controlling its risks. The G7 and UN initiatives embody a global approach, setting a broad framework and igniting international discussions. Meanwhile, the US and the UK are taking their own decisive steps, aligning with these global dialogues.

As AI keeps growing, the partnership between global and local efforts will be crucial in guiding AI governance towards a future that’s safe, responsible, and beneficial for everyone. This joint effort, with everyone bringing their own insights, is vital in ensuring AI benefits humanity while reducing the risks involved.


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Maria Webb
Technology Journalist
Maria Webb
Technology Journalist

Maria is a technology journalist with over five years of experience with a deep interest in AI and machine learning. She excels in data-driven journalism, making complex topics both accessible and engaging for her audience. Her work is prominently featured on Techopedia, Business2Community, and Eurostat, where she provides creative technical writing. She holds a Bachelor of Arts Honours in English and a Master of Science in Strategic Management and Digital Marketing from the University of Malta. Maria's background includes journalism for, covering a range of topics from local events to international tech trends.