South Korea Rethinks Privacy Rules as AI Strains the Logic of Consent

Key Takeaways

• South Korea Is Reconsidering Its Consent-Centered Privacy Framework: The PIPC has opened a public consultation on reforms intended to make the country’s privacy regime more effective and practical as AI changes how personal information is processed.
• Agentic AI Is Testing Existing Privacy Rules: The regulator said AI agents that interact with other agents, external services and tools expose limitations in relying on repeated consent and raise questions about how accountability should be structured.
• Cross-Border Data Use Is Another Focus: The PIPC identified difficulties conducting international joint research with pseudonymized data when additional cross-border transfer requirements apply and further consent may be impractical.
• Physical AI Is Creating New Privacy Questions: Robots, drones, smart glasses and other technologies may collect and process personal information in ways the existing framework was not designed to address.
• A Reform Plan Is Expected by Year-End: The consultation closes Aug. 31, after which the PIPC plans to select policy tasks and hold public discussions and seminars before announcing its reform plan by the end of 2026.

Deep Dive

The Personal Information Protection Commission has opened a public consultation on an overhaul of the country’s privacy protection framework, a review prompted in part by the widening distance between rules built around consent and forms of data processing that have become considerably harder to explain, much less reduce to a series of yes-or-no decisions.

The consultation, which runs from Aug. 6 through Aug. 31, follows the PIPC’s creation of a privacy-framework reform task force on July 30. The commission plans to review the proposals it receives, identify policy tasks and convene public discussions and seminars before announcing a reform plan by the end of 2026.

No replacement framework has been proposed yet. That matters. The PIPC is not announcing new obligations or abandoning consent as a legal basis for processing personal information. It is opening the machinery itself for examination, and some of the questions it has chosen to ask go to the foundations of how privacy regulation has worked in South Korea.

The country began putting legal privacy protections in place across the public, information and communications, and financial sectors in the mid-1990s. The Personal Information Protection Act followed in 2011, and substantial amendments in 2020 brought together rules that had previously been divided among sector-specific laws.

Much of that architecture developed around a recognizable sequence. An organization collected personal information, used it for a purpose and destroyed it when the information was no longer needed. Consent could be attached to identifiable stages in that process.

Models can be trained on broad collections of information. Unstructured data can contain personal information about people other than the individual directly interacting with a service. Organizations can link and use data across systems. Agentic AI can determine its own workflow in response to a request, reaching into different sources of information and interacting with other agents, services and tools along the way.

A privacy regime can still ask for consent in that environment. The harder question is what, exactly, the person is consenting to.

The PIPC already sees signs that the old mechanism is losing some of its practical force. Although PIPA now provides legal grounds for processing beyond consent, the commission said superficial consent practices remain. People face repeated prompts and privacy policies they may struggle to understand, producing what the regulator calls “consent fatigue.”

There is a quiet contradiction there. A system intended to give people control over their information can ask for permission so frequently that permission becomes almost automatic. More consent does not necessarily produce more understanding.

For organizations, that distinction matters because the PIPC’s review is not simply concerned with making notices clearer. It is examining whether a framework that places so much weight on discrete moments of consent can provide meaningful protection when the processing itself is increasingly continuous, distributed and difficult to anticipate.

When the Data Starts Moving on Its Own

An AI agent given a task by a user may need to access a range of information to complete it. If it communicates with other agents or connects to external services and tools, additional uses or transfers of personal information can enter the workflow. Under existing consent-based rules, the PIPC said, those interactions could make new consent necessary.

That begins to look awkward rather quickly. An agent is useful partly because the user does not have to prescribe every step it takes. Yet a privacy framework built around permission at particular stages of processing can depend on precisely that kind of advance visibility.

The PIPC has therefore put accountability alongside consent in its reform discussion. The commission said the development of agentic AI highlights the need for a new accountability structure, though it has not yet specified what such a structure should contain. The distinction is important: the consultation identifies the problem and invites proposals rather than presenting a settled regulatory answer.

PIPA permits pseudonymized information to be used for scientific research, including medical research. But when that research crosses borders, additional requirements governing international data transfers can create practical difficulties. Seeking another round of consent may be unrealistic once information has already been pseudonymized or de-identified. A rule that works cleanly when data remains within one jurisdiction becomes harder to apply when research depends on institutions in several.

Then there are technologies for which the old sequence of collection, consent and use becomes stranger still. The PIPC pointed to robots, drones and smart glasses as examples of physical AI capable of collecting and processing personal information in new ways. These technologies, the commission said, may create privacy problems that existing legal frameworks cannot adequately address, requiring privacy principles and safeguards to be established or adjusted and the rights of data subjects to be considered anew.

None of this means South Korea has decided that consent has outlived its usefulness. The consultation is broader, and more careful, than that. The PIPC says it wants to strengthen privacy protections while making regulation effective and practical in a data-processing environment that has changed dramatically since the foundations of the current system were laid.

The commission is asking individuals, businesses, academics and civil society to identify shortcomings in the existing framework, difficulties encountered under current law and policy, ways to enable safer use of personal information, and privacy principles that may need adjustment for AI. Significant contributors may receive an award from the PIPC chairperson.

Once submissions are collected, the PIPC plans to assess proposals for feasibility and their potential to produce meaningful improvements. Open discussions and seminars will follow, bringing together members of the public, businesses and experts as the commission works toward its year-end reform plan.

The order of that process is deliberate. Rather than drafting a finished policy and then asking interested parties what they think of it, the PIPC says it wants public feedback and experience from the field to help determine where reform begins.

“The PIPC’s mandate is to shape a new balance to enable the safer and responsible use of data in the public interest in the era of AI,” Chairperson Kyung Hee Song said, adding that the commission intends to develop its policies with the public.

For companies operating in South Korea, nothing in the consultation itself changes their obligations under PIPA. But the review makes plain where the regulator believes pressure is accumulating. Consent remains one of privacy law’s most familiar instruments because it turns an abstract right into an apparent choice. AI is exposing how much complexity can sit behind that choice.

The harder work is deciding where responsibility belongs when meaningful individual permission cannot reasonably account for every step a system might take. South Korea has not answered that question. By putting accountability structures, cross-border data use and AI-specific privacy principles on the table, its regulator has made clear that the answer may require more than another button.

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