On Feb. 6, 2026, KoreaTechDesk reported that Korea’s Personal Information Protection Commission has convened a 37‑member “2026 AI Privacy Public‑Private Policy Council” in Seoul. The body will develop standards for AI data processing, risk management and data-subject rights as agentic and physical AI systems spread.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Korea’s AI Privacy Council is one of the clearest examples yet of a government trying to redesign data governance for an agentic AI era rather than simply stretching legacy privacy rules. By bringing regulators, judges, academics, industry and civil society to the same table, the PIPC is acknowledging that when AI systems can act autonomously, privacy is no longer just about consent screens and retention limits—it becomes a question of how models infer, decide and intervene in people’s lives.([koreatechdesk.com](https://koreatechdesk.com/korea-ai-privacy-council-agentic-data-ethics-governance))
For the race to AGI, this move shows how mid‑sized democracies are experimenting with governance architectures that sit somewhere between pure top‑down regulation and laissez‑faire self‑policing. If the council can translate its work on standards, risk and rights into enforceable codes of conduct, it could give Korean startups and enterprises a clearer rulebook for building powerful agents without triggering backlash or legal uncertainty. Conversely, if it produces only non‑binding guidance, the signal may be that even proactive regulators struggle to keep up with the speed of capability gains. Either way, Korea is positioning itself as a testbed for “co‑designed” AI governance—a model other countries may watch closely as AGI‑like systems start to interact more deeply with critical infrastructure and citizen data.

