UN forum side event links AI accountability, sustainability and youth participation

At a July 10 side event of the 2026 UN High-level Political Forum in New York, experts and seven youth speakers from China and Singapore argued that AI must support green transition, inclusive infrastructure and public trust. The discussion pushed for stronger oversight, human accountability and clearer standards for health, cities, culture and generative AI.

Why it matters: - AI is moving into public policy, health care, cities and cultural systems faster than governance frameworks in many places. - The event focused on a central question for the UN's 2030 agenda: how to scale AI for sustainability without weakening accountability, inclusion or public trust. - Youth speakers linked AI governance to real-world issues, including misinformation, housing exclusion, gender equality, heritage protection and access to health care.

What happened: - Experts from the UN system, the technology sector and health care joined seven youth representatives from China and Singapore at an official side event of the 2026 United Nations High-level Political Forum on Sustainable Development. - The virtual session, “From Evidence to Action: Artificial Intelligence, Digital Governance, Green Transition and Inclusive Infrastructure,” took place July 10, 2026. - The event was co-organized by the Tianjin Eco-city Friend of Green Eco-Culture Promotion Association and Grouphorse Group. - The discussion covered SDGs tied to water and sanitation, clean energy, innovation and infrastructure, sustainable cities and partnerships. - Lingxin Guo, Director of AI Data and Strategic Partnerships at Grouphorse Group, moderated the session.

The details: - Xing Tang, Chairman of Grouphorse Group, said AI, digital governance, green transition and inclusive infrastructure should be treated as connected policy areas. - Tang said technology can speed up action, but governance must define responsibility and inclusion must determine who benefits. - Tang also said the main challenge before 2030 is turning evidence and solutions into action at the required speed and scale without sacrificing accountability, inclusion or trust. - Tang said trustworthy AI depends on accurate, responsibly governed and culturally representative data. - Tang warned that languages, cultures and lived experiences missing from training data may also be excluded from the benefits of technological development. - Mario Baez, former Chief of Accountability Service of the United Nations Secretariat, called for stronger oversight of algorithms used in public policy, resource allocation and essential services. - Baez said institutions deploying AI should keep dedicated risk registers covering data sources, bias, cybersecurity, transparency and social impact. - Baez said independent mechanisms should connect problem identification, corrective action and verification. - Baez said machine-learning complexity must not become a shield against public accountability. - Akhil Sharma, a software developer at Meta, said global-scale AI systems can affect large numbers of people even when overall accuracy is high. - Sharma said safety, data quality and accountability should be built into system design and model training. - Sharma proposed lighter controls for low-risk uses, human final decisions in areas affecting rights or finance, and clear human leadership in health and safety applications. - Thinkwell Jamera, a trustee/director of the Association of Health Care Professionals in Jersey, Channel Islands, and a medical doctor, educator and researcher, said AI should strengthen understaffed and resource-constrained health systems. - Jamera said AI can support care but cannot replace communication, ethical judgment, informed consent or attention to a patient's circumstances. - Jamera called for clinical validation, data protection, bias assessment, professional supervision and an identifiable human decision-maker. - Hanyu Li, a student at Shanghai Qingpu Pinghe Bilingual School, focused on AI-generated images and fake news. - Li urged the public to move from “seeing is believing” to “verification is believing” by checking sources, comparing authoritative reports, examining visual details and using verification tools. - Yixin Chen, a student at Shanghai Starriver Bilingual School, said smart cities should be measured by more than traffic efficiency, connectivity and automation. - Chen proposed adding social cohesion, community participation, loneliness and mental-health indicators so urban technology is judged against human well-being. - Chen said a city can be digitally efficient yet socially disconnected, and argued that public policy should treat human connection and mental health as core infrastructure outcomes. - Nan Jiang, a student at Shanghai Starriver Bilingual School, examined hostile architecture such as divided benches and anti-sleeping devices. - Jiang said such designs can exclude unhoused people, older residents and other vulnerable groups. - Jiang called for inclusive public facilities, reuse of idle urban spaces and stronger social support instead of spatial displacement. - Wendy Zhang, a student at St. Joseph's Institution International in Singapore, addressed barriers to young women's economic participation. - Zhang advocated gender-equality education, greater transparency in pay and promotion, and cross-border mentorship networks. - Kangyue Liang, a student at Shanghai Starriver Bilingual School, linked algorithmic governance to the survival of intangible cultural heritage. - Liang said platforms optimized for clicks and watch time can compress layered traditions into decontextualized “three-second spectacles.” - Liang proposed a “Contextual Integrity Standard” for heritage digitization and platform dissemination. - Liang said historical background, ritual structure, community meaning and the voices of cultural bearers should be preserved, and content metrics should test whether essential context survives digital dissemination. - Zhaomeng Zhang, a student at the University of International Relations, drew on Chinese smart-city and sponge-city practices to propose three principles for AI-supported urban governance: accountability, inclusive data and citizen participation. - Zhang said technological advancement alone does not make a city sustainable. - Zhang said systems must respond to different communities, permit public scrutiny and improve efficiency without sacrificing fairness. - Wenwen Jiang, a student at Shanghai Soong Ching Ling School, addressed cultural diversity and creators' rights in generative AI. - Jiang called for consent, attribution and fair compensation when creative works are used for training. - Jiang also urged disclosure of data sources and clear labeling of AI-generated content. - Jiang said UNESCO, WIPO and ITU should coordinate content-provenance standards to protect creators, smaller languages and less widely represented cultural traditions. - Yujie Chen, a United Nations project design consultant, said the discussion connected institutional oversight, responsible engineering, health care governance and public participation. - Chen said young people should be treated as current stakeholders in rule-making, system design and project evaluation, not only as technology users or future beneficiaries.

Between the lines: - The event framed AI governance as a sustainability issue, not just a technical one. - The speakers repeatedly linked trustworthy AI to representation, oversight and measurable social outcomes. - The youth interventions broadened the debate beyond efficiency, arguing that systems can perform well technically while still producing exclusion, misinformation or cultural loss. - The discussion also suggested a growing expectation that global AI rules will need coordination across UN agencies, governments, companies, schools, universities and civil society.

What's next: - Participants called for sustained cooperation among international organizations, governments, technology companies, health care institutions, schools, universities and civil society. - They urged decision-makers to assess AI projects against verifiable social and sustainable-development outcomes rather than technological capacity alone. - The youth speakers’ proposals point toward future debate on standards for AI in public services, heritage digitization, generative content labeling and inclusive urban governance.

The bottom line: - The message from New York was blunt: AI can support the SDGs only if accountability, inclusion and human oversight stay ahead of deployment.