President Claudia Sheinbaum publicly stated in early June 2026 the need to open a national debate to regulate artificial intelligence and the operation of digital platforms, arguing concerns about the exposure of girls, boys and youth and about the malicious use of algorithms in manipulating public conversation.

The call from the head of the Executive branch comes in a legislative and social context marked by initiatives to typify digital violence generated with automated tools and by episodes in which local AI rules have had controversial consequences for freedom of the press. These initiatives and their effects have been the subject of public and judicial analysis in recent weeks.

Experts and organizations have warned about the risk of excessively punitive regulation that confuses the tool with human responsibility and causes legal uncertainty for developers, companies and users, in addition to potential negative effects on innovation and technological adoption.

For companies that integrate artificial intelligence into their operations, the public and regulatory discussion requires practical attention on two fronts: ensuring the responsible use of models and offering compliance and control mechanisms that protect customers and the community. In this sense, we have capabilities for multichannel conversational automation, AI-assisted content generation, and analytical dashboards that help manage operational risks and document technological decisions.

Beyond the technical aspects, the experience of recent cases shows the need to distinguish between punishable conduct (for example, deliberate creation of disinformation campaigns or manipulation of images for violent purposes) and legitimate uses of AI in production processes, customer service or content generation, so that regulation protects rights without paralyzing useful tools for business operation and public service.

At Onix Board we offer scalable models designed to facilitate the safe adoption of AI in SMEs: plans with limits and controls by message volume, sentiment analysis on social networks, supervised content generation, and dashboards that allow tracing the traceability of automated actions. These features are designed to help companies meet regulatory requirements and respond quickly to reputational risks.

We recommend that regulation consider proportional mechanisms —focused on verifiable conduct and damages— and transition measures that include timelines, pilot tests, and support for technical training to avoid adverse effects on competitiveness and local innovation. Finally, if you want to know how to implement controls and operational audits in your AI platform, you can contact us at the official channels provided.