The UN Pushes Global AI Rules While Ecuador Redefines Its Own

The same week Ecuador archived its artificial intelligence bill, the debate was moving in the opposite direction globally. El Comercio summed up the tension: the UN is seeking international rules for AI while the country redefines how to regulate it. The 81st General Assembly, opened on September 8, brings AI governance into the high-level debate running September 22–28, and Forbes anticipated the topic would take center stage at a moment marked by calls to slow its development.

What's being built internationally

There are two concrete pieces, created by the General Assembly to complement each other. The first is the Independent International Scientific Panel on AI, made up of 40 experts appointed for three years with geographic and gender balance, whose job is to bring scientific evidence to the discussions: the panel has already warned about disinformation, algorithmic discrimination and the risks of a "superintelligence" that is hard to control. The second is the Global Dialogue on AI Governance, mandated by resolution 79/325, whose first edition was held in July 2026 in Geneva and whose second is scheduled for May 2027 in New York. The panel provides the evidence; countries decide what to do with it.

On September 14 the UN High Commissioner for Human Rights, Volker Türk, warned about the dangers of accelerated AI development without regulatory frameworks, with emphasis on protecting human rights. And according to UN News, there is a participation gap that explains much of the problem: 118 countries still don't take part in the main AI governance initiatives, and fewer than a third of developing nations have a national strategy on the matter.

Where Ecuador sits on that map

Better than the archiving news would suggest. Ecuador does have a national strategy: in March 2026 it adopted the Strategy for promoting the ethical and responsible development and use of AI, with a 2025–2029 roadmap. What it doesn't have is a law. On September 15 the plenary archived the Organic Law for the Regulation and Promotion of AI, and an alternative proposal that classifies uses by risk level remains in process. In short: the country is in the group with a defined direction but a pending legal instrument.

What of this matters today in a company's operations

International summits rarely change anything by the following Monday. But the direction they set is fairly predictable and worth getting ahead of, because once it becomes a rule or a corporate client's requirement, there's no time to improvise:

Risk classification. Every framework under discussion — European, the UN panel, the Ecuadorian bill in process — converges on the same point: not all AI uses are equal. An assistant that drafts emails is not a system that decides a loan or screens job applicants. Doing that internal inventory is an afternoon's work and is the starting point of any future compliance.

Decision traceability. If an automated system influences a decision affecting a person, there must be a record of what data was used, what the system recommended and who made the final call.

Human oversight where rights are at stake. It's the requirement that shows up in every draft, and also the best practical defense against a model error.

What this means for your SME

• Global regulation will reach you through your clients before the official register. Large companies and multinationals already require AI and data usage policies from their suppliers.
• Do the AI-use inventory now. Which tools, which data they touch, which decisions they influence: it's a table, not a project.
• Risk classification saves money. It lets you apply strict controls only where needed, instead of holding back all adoption out of caution.
• Don't wait for the law to start documenting. Whoever already has records adapts to any framework; whoever doesn't will have to reconstruct the past.

How We Approach It at SimCodec

At SimCodec we implement automations and AI agents with logging built in from the design stage: every automated action is logged, high-impact decisions go through human approval, and sensitive data is handled with least privilege and bounded retention. Not because a summit asks for it, but because that's what lets you debug an error and answer an audit.

If you want to build your company's AI-use inventory and get the controls in order, write to us at simcod.ec/es/contacto.