A liability rule that closes a real gap
As autonomous AI agents move from chatbots to systems that book flights, trade assets, and manage industrial equipment, one question has gone unanswered in most jurisdictions: when such a system causes harm, who pays? On September 14, 2026, Saudi Arabia's data and AI authority gave a clear answer. Saeed bin Mohammed Al-Shahrani, spokesman for the Saudi Data and Artificial Intelligence Authority (SDAIA), told Asharq Al-Awsat that "an intelligent system does not bear legal responsibility when harm occurs; responsibility remains with the developer and the entity operating it." He added that "high-risk decisions require human oversight, clear chains of responsibility and documented, operational emergency shutdown mechanisms" (Asharq Al-Awsat, Sept. 14, 2026).
The remarks landed just as Riyadh hosted the fourth UNESCO Global Forum on the Ethics of Artificial Intelligence (September 14-17), the first time the forum has been held in the Arab world.
The case for mandatory kill-switches
The strongest argument for SDAIA's position is straightforward: autonomous agents that can execute multi-step actions without a human in the loop create harm pathways that traditional software never did. A trading bot that cascades into a flash crash, or a logistics agent that misroutes hazardous cargo, doesn't wait for a human to notice and intervene — by the time anyone does, the damage is often done. Regulators in the EU, under the AI Act's high-risk provisions, and in the US, through sectoral rules like those governing autonomous vehicles, have converged on similar instincts: human oversight requirements and the ability to disengage a system are not paternalistic overreach but basic engineering hygiene for systems operating at machine speed. Assigning legal personality to software, rather than to the humans and companies that built and deployed it, would let liability evaporate into an entity that has no assets, no board, and nothing to lose.
Where the clarity actually helps innovation
Here is where the pro-innovation case and the precautionary case converge rather than conflict. Ambiguity about liability is itself a drag on deployment. A firm considering whether to roll out an autonomous procurement or customer-service agent in Saudi Arabia has, until now, had to guess how a court might apportion blame between the AI vendor, the systems integrator, and the deploying business if something goes wrong. By stating upfront that liability sits with the developer and operator — not some undefined "AI entity" — SDAIA removes a major source of legal uncertainty that tends to freeze capital rather than protect anyone. This is a case where a clear background rule, even a strict one, beats no rule at all.
The catch is that Saudi Arabia's approach remains, per legal trackers of the Kingdom's regime, built on "soft-law mechanisms over statutory intervention": SDAIA's National AI Ethics Principles and Generative AI Guideline are non-binding unless tied to an enforceable law like the 2024 Personal Data Protection Law (CMS Law AI Regulation Scanner). Al-Shahrani's liability statement is a policy signal, not yet a statute — a distinction that matters enormously to any company trying to price legal risk today. Enforceability, not just intent, is what will determine whether this reduces uncertainty or just relocates it.
From rule-taker to rule-shaper
The more consequential part of Al-Shahrani's interview may be the institutional one. He described Saudi Arabia as shifting "from adopting global AI standards to shaping them," pointing to the International Center for AI Research and Ethics (ICAIRE) in Riyadh, established by Saudi Council of Ministers decision on July 25, 2023, and granted UNESCO Category 2 status on November 16, 2023 (Saudipedia; Saudi Press Agency). At this year's forum, Saudi Arabia, UNESCO, and ICAIRE issued a joint statement reaffirming the 2021 UNESCO Recommendation on the Ethics of AI as the reference framework, emphasizing multilateral cooperation, infrastructure and capacity-building, and human rights protections — notably general commitments, not the specific autonomous-agent shutdown mandates Al-Shahrani floated in his own remarks (Asharq Al-Awsat).
That gap between the ministerial joint statement and SDAIA's own more prescriptive comments is worth watching. It suggests Riyadh is using ICAIRE's UN-backed platform for soft diplomatic convening — where the practical value lies in building relationships and credibility with the ~60 ministers and delegations who attended — while reserving the sharper regulatory instincts (mandatory kill-switches, developer liability) for its own domestic authority. This is a sensible division of labor, not a contradiction: a middle power without the market size of the EU or US cannot dictate binding global AI law through a UNESCO center, but it can use that platform to seed norms it then implements at home and exports through capacity-building.
What to watch
The test of whether this is durable policy or forum diplomacy will be whether Saudi Arabia converts SDAIA's liability and shutdown-mechanism language into an actual binding AI statute, rather than leaving it in the ethics-principles tier alongside the Generative AI Guideline. Until then, the sharpest and most useful part of Al-Shahrani's September 14 statement is conceptual clarity — AI systems don't have legal personhood, someone accountable always does — even if the enforcement architecture to back it up is still being built.