Who Certifies the AI That Moves Among Us? Building Independent Safety Assurance for AI in the Physical World


Responsible AI for Safety and Ethics (RAISE)

Session 208

Thursday, 9 July 2026 13:00–13:45 (UTC+02:00) Physical (on-site) and Virtual (remote) participation Room K, Palexpo Interactive Session
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Physical (on-site) and Virtual (remote) participation


Toward a pre-normative framework for certifying autonomous and cyber-physical AI systems operating in civilian environments

Background.

Artificial intelligence is no longer confined to screens and data centres. It now flies drones over inhabited areas, drives ground robots through hospitals, airports and city streets, and operates assistive and surgical systems — taking decisions that act directly on the physical world, often in the presence of civilians who never consented to be near them. Yet while aviation, nuclear power and rail each rest on mature, independent safety-certification regimes, no equivalent body certifies the safety of AI systems acting in open physical environments. Consider a simple question: who certifies that an autonomous delivery robot, or an inspection drone flying above a crowd, is safe for the people around it? Today, there is no clear answer. The European AI Act addresses governance and risk classification; ISO/IEC standards are emerging; EASA has begun work for aviation. But the general case — an AI making consequential physical decisions among people — falls between existing mandates. This is a structural gap in the global digital architecture, and one the WSIS framework itself does not yet name.

Relevant practice and precedents.

Rather than claim premature successes, this session grounds its case in proven adjacent practice. The maritime industry separated insurer from certifier in 1834, recognising that one cannot impartially judge the safety of what one has an interest in deploying — the founding principle of independent third-party assurance that later built modern aviation and safety-critical software certification. More concretely, EASA's SORA methodology already shows how to assess the operational risk a drone poses to people on the ground. The methods to evaluate the safety of an autonomous system operating among people therefore exist; what is missing is the institutional home to apply them across the general cyber-physical case. The session draws on decades of safety-critical software certification to make this point precise and credible.

Vision towards WSIS+20 and beyond.

As the WSIS+20 review takes stock of twenty years of building trust in ICTs, AI acting in the physical world is the frontier where "confidence and security" must now be earned. This session offers policymakers, regulators and civil society a shared vocabulary for a gap most have sensed but few have named, and calls for an independent, pre-normative effort — based in Geneva, at the heart of the multilateral system — to define safety criteria for real-world AI. It invites governments, standards bodies, industry and civil society to help build it.

Topics
Artificial Intelligence Cybersecurity Emerging Technologies Ethics Machine Learning Smart Cities WSIS+20 Review
WSIS Action Lines
  • AL C5 logo C5. Building confidence and security in use of ICTs
  • AL C7 E–HEA logo C7. ICT applications: benefits in all aspects of life — E-health
  • AL C10 logo C10. Ethical dimensions of the Information Society

The session speaks directly to Action Line C5. For two decades, "confidence and security in the use of ICTs" has largely meant cybersecurity — protecting data and networks. As AI begins to act physically among people, C5 must extend to safety in the engineering sense: assurance that an autonomous system will not harm those around it. This is the unaddressed half of C5. The session also engages C7 (E-health), where autonomous and assistive medical robots already operate on and around patients, and C10, since independent certification is the institutional form that ethical principles must take to become enforceable rather than merely declaratory.

Sustainable Development Goals
  • Goal 3 logo Goal 3: Ensure healthy lives and promote well-being for all
  • Goal 9 logo Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
  • Goal 11 logo Goal 11: Make cities inclusive, safe, resilient and sustainable
  • Goal 16 logo Goal 16: Promote just, peaceful and inclusive societies

The session contributes most directly to SDG 9: safe, certifiable AI is a precondition for resilient infrastructure and for innovation that earns public trust rather than eroding it. It supports SDG 3 wherever autonomous systems act in healthcare, SDG 11 where drones and robots operate in shared urban space, and SDG 16 through its core proposal — an independent, accountable institution for safety assurance, an instance of the effective and trustworthy institutions that goal calls for.

GDC Objectives
  • Objective 3: Foster an inclusive, open, safe and secure digital space that respects, protects and promotes human rights
  • Objective 5: Enhance international governance of artificial intelligence for the benefit of humanity