Who is Liable? Navigating the Complex Future of AI Legal Accountability in Indonesia

The rapid integration of Artificial Intelligence (AI) into our daily lives has moved from the realm of science fiction to a pressing reality for the Indonesian legal system. As AI systems become more autonomous, a critical question emerges: when an algorithm makes a mistake that leads to financial loss or physical harm, who carries the burden of legal responsibility? This isn't just a theoretical debate for academics; it is a fundamental challenge currently being scrutinized by legal experts and the Supreme Court of Indonesia.

The Current Regulatory Landscape

As of today, Indonesia does not have a specific, comprehensive Law on Artificial Intelligence. The primary reference point currently available is the Circular Letter of the Minister of Communication and Informatics Number 9 of 2023 (SE Menkominfo 9/2023) regarding Artificial Intelligence Ethics. While this document provides a necessary ethical framework, it is crucial to understand its limitations. A circular letter is a form of soft law; it provides guidance and ethical standards but lacks the punitive power of a formal statute or law. It focuses on transparency, accountability, and humanity, but it doesn't provide a clear roadmap for courtrooms when a dispute arises.

Defining the Legal Subject: Tool or Persona?

One of the most significant hurdles in Indonesian law is the definition of a legal subject. Traditionally, Indonesian law recognizes two types of legal subjects: natural persons (individuals) and legal entities (corporations). AI, despite its sophisticated decision-making capabilities, fits into neither category.

If AI is viewed merely as a tool, then the liability usually falls back on the human operator or the owner, similar to how a driver is responsible for a car. However, as AI starts to act with increasing autonomy—making decisions the developer couldn't have predicted—the 'tool' analogy begins to crumble. There is an ongoing discussion about whether AI should be granted a limited 'electronic personhood,' but Indonesia is still far from reaching a consensus on this radical shift.

Product Liability vs. Human Negligence

In the absence of a dedicated AI Law, legal practitioners often look toward the ITE Law (Electronic Information and Transactions) and Consumer Protection laws. The debate often splits into two directions. First is Product Liability, where the developer or the company that deployed the AI is held responsible for defects in the algorithm. If the code was inherently flawed or biased, the creator should theoretically be at fault.

Second is the concept of Negligence by the user. If a medical professional uses an AI diagnostic tool but ignores its warnings or uses it incorrectly, the liability shifts to the human professional. The gray area lies in the 'Black Box' nature of modern AI, where even the developers cannot fully explain how the machine reached a specific conclusion. How can you prove negligence when the decision-making process is a mathematical mystery?

The Supreme Court's Perspective and the Path Forward

For the Indonesian judiciary, particularly the Supreme Court, the challenge is to interpret existing civil and criminal codes (KUHPerdata and KUHP) to address 21st-century technology. The principle of 'no liability without fault' is being tested. If a judge cannot find a 'fault' in a human actor, can the victim still be compensated? This points toward a need for a 'strict liability' regime in certain high-risk AI applications, where the operator is responsible regardless of intent or direct negligence.

Looking ahead, Indonesia needs more than just ethical guidelines. To provide legal certainty for investors and protection for citizens, the transition from 'soft law' to 'hard law' is inevitable. We are currently in a transition period where the courts will likely play a massive role in setting precedents through case law until the legislature can catch up with the speed of innovation. The direction is clear: we are seeking a balance between fostering technological progress and ensuring that no harm goes uncompensated in the age of the algorithm.