Page 22 - AI for Good - Impact Report

AI for Good

As AI governance frameworks evolve, it is important for stakeholders to address key challenges
that will enhance their effectiveness. While global convergence on AI governance could be
one approach, the focus should be on creating adaptable frameworks that balance national
and regional needs. Ensuring interoperability between systems is essential, as it will allow
AI technologies to function seamlessly across borders and industries. Aligning governance
strategies can deliver substantial benefits, including more effective AI regulation, enhanced
innovation, and stronger protection of public interests. This challenge is further complicated
by the need to coordinate frameworks such as policies or standards internationally and create
shared agreements between countries worldwide. Despite the difficulties, such agreements are
essential for creating a unified approach to AI governance that can address the technology's
borderless nature. Indeed, the implications of AI often extend far beyond national boundaries,
making robust international coordination a necessity. Without this coordination, efforts to
govern AI could be undermined by jurisdictional inconsistencies and regulatory gaps. The
borderless nature of AI demands an international approach, so no region or country is left out
of the debate.

To effectively address these challenges, it is essential to explore the distinct layers and approaches
that exist across various regulatory levels. By examining the different global, regional, and state-
level efforts, we can better understand how these initiatives interact, overlap, and sometimes
diverge. This will highlight how different frameworks can collectively contribute to a more
cohesive global strategy, while also highlighting the unique contributions and challenges posed
by each level of governance.

AI governance frameworks operate on global, regional, and state/national levels, each
addressing different aspects of regulation and oversight. Global frameworks aim to set universal
ethical standards that transcend borders, offering guidelines for responsible AI use and
development worldwide. Regional frameworks, such as those implemented by specific groups
of countries and jurisdictions, focus on harmonizing regulations within a certain geographic
area, ensuring consistency and cohesion among member states. State or national frameworks
are more specific, and tailored to the unique legal, cultural, and technological environments of
individual countries, providing localized governance that aligns with broader regional and global
standards. Each of these approaches plays a distinct role, contributing to a holistic approach
that can accommodate the diverse needs and challenges of AI deployment worldwide.

Global level

In the rapidly evolving landscape of AI governance, international entities are adopting distinct
strategies to address the ethical, regulatory, and safety challenges posed by AI technologies. The
UN, the Group of Seven (G7), and the recent AI Safety Summits each bring unique approaches
to shaping a global framework that balances innovation with responsibility.

The UN plays a critical role in international AI governance, actively promoting ethical standards,
international cooperation, and discussions among member states to ensure that AI development
aligns with human rights, peace, and the SDGs. The United Nations Secretary-General’s High-
level Advisory Body on Artificial Intelligence (HLAB-AI) released “Governing AI for Humanity”
in September 2024, which serves as a strategic blueprint for addressing AI-related risks while
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realizing its transformative benefits globally. The report identified urgent needs for cohesive
global governance to manage AI’s rapid development, highlighting its impact on critical sectors
like healthcare, energy, and public services.

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