[Air-L] Fwd: New Policy Report on Interoperability in AI Safety Governance: Ethics, Regulations, and Standards

[Yik Chan Chin]

Dear Colleagues,

The United Nations University Institute in Macau has released a new policy
report, Interoperability in AI Safety Governance: Ethics, Regulations, and
Standards, offering critical recommendations to strengthen global AI safety
frameworks through enhanced interoperability.

Drawing on country studies from China, South Korea, Singapore, and the
United Kingdom, the report identifies effective tools and key barriers to
interoperability in AI safety governance. It highlights practical ways to
build a governance ecosystem that is globally informed yet locally grounded.

Interoperability is a cornerstone of AI governance—essential for reducing
risks, fostering innovation, enhancing competitiveness, promoting
standardization, and building public trust. Yet progress remains hindered
by fragmented regulations, limited global coordination, and insufficient
engagement from the Global South.

Focusing on autonomous vehicles, education, and cross‑border data flows,
the report compares ethical, legal, and technical frameworks across the
four countries. It identifies areas of convergence and divergence, offering
policy recommendations aligned with the Global Digital Compact and relevant
UN resolutions.

The study adopts a regulatory learning approach, engaging stakeholders in
each jurisdiction to capture local insights and foster interjurisdictional
learning. Coordinated by UNU, the initiative introduces a collaborative
model for transnational policymaking by identifying shared challenges and
co‑developing strategic responses.

Recommendations span three dimensions—ethical, regulatory, and technical
interoperability. They include advancing a global AI ethics framework,
establishing multilateral systems for coordinated governance, enhancing
transparency and accountability, promoting interoperable digital public
infrastructure, and embedding interoperability by design in technical
standards.

The report concludes that the future of AI safety governance is evolving
toward evidence‑based, outcomes‑oriented models that complement
principle‑led frameworks. Sustaining momentum will require policymakers to
deepen normative specificity, enhance legal interoperability, expand
interoperable standards, strengthen data governance, and invest in AI
literacy and capacity building.

The study was a joint effort by multiple UNU Global AI Network
<https://unu.edu/unu-global-ai-network>members Yik Chan Chin, David A Raho,
Hag-Min Kim, Chunli Bi, James Ong, Jingbo Huang, Serge Stinckwich,
sponsored by SenseTime.

https://unu.edu/macau/news/new-policy-report-interoperability-ai-safety-governance-ethics-regulations-and-standards

Download the Report at:

https://collections.unu.edu/eserv/UNU:10363/Interoperability_in_AI_Safety_Governance.pdf
Best,
Yik Chan

-----------------

Dr. Yik Chan Chin

Associate Professor

School of Journalism and Communication
Beijing Normal University
Beijing, P.R. China 215123
Email: yik-chan.chin at bnu.edu.cn；yikchanchin at gmail.com

https://xwcb.bnu.edu.cn/as/ap/114761.html

https://www.linkedin.com/in/yik-chan-chin-874174b/

*https://orcid.org/0000-0002-1362-7481
<https://orcid.org/0000-0002-1362-7481>*

https://www.researchgate.net/profile/Yik_Chan_Chin

http://ssrn.com/author=1377946

https://bnu.academia.edu/YikChanChin

https://scholar.google.com/citations?user=u41w5b4AAAAJ&hl=en