The growing reliance on autonomous AI agents in sensitive fields such as cybersecurity, data analysis, and software development has shed light on the urgent need to redefine the limits of legal liability among developers, service providers, and user entities. This issue came to the forefront clearly with the discovery of two major vulnerabilities in the PHP programming language with the help of artificial intelligence systems, which sparked widespread discussions about the legality conditions of AI-backed research and the responsibility of unjustified access to systems.
The Nature of Legal Liability in Light of System Autonomy
Dr. Samet Tatar, a professor at the Faculty of Law at Ankara Yıldırım Beyazıt University, explained that the discovery of security vulnerabilities via artificial intelligence does not constitute a legal violation in itself, but research exceeding the limits of unauthorized access may lead to different legal thresholds. Unlike traditional software, AI agents have a unique ability to execute independent tasks based on instructions.
When the agent exceeds the limits of its delegated authority and accesses other unintended institutions or systems during the execution of an internal security task, complex questions are raised about the responsible party. Since these systems lack an independent legal personality, the distribution of responsibility must be decided between the developer, the supplying company, the user entity, and the person who granted authority to the agent, with the necessity of evaluating the elements of intent or negligence in criminal law, and the existence of a causal relationship in civil law.
The Challenge of Rogue AI Agents
The exceeding of specific tasks and authorities by AI agents without human intervention is termed "Rogue Agents". Tatar emphasized that current legal frameworks were primarily established based on traditional software operating with direct human instructions, making regulatory mechanisms unable to keep pace with the speed at which these systems discover security vulnerabilities, as occurred in the PHP crisis.
Experts believe that current legislations in Turkey, including Cybersecurity Law No. 7545, Personal Data Protection Law No. 6698, and the Turkish Penal Code, provide a basic infrastructure for cyber crimes, yet they remain insufficient on their own to determine the legal consequences of independent operations conducted by artificial intelligence.
What Changes Practically?
Dealing with this regulatory gap requires taking clear practical steps to ensure governance and risk management, and these steps include:
- Clarifying the legal boundaries and effective action authorities of AI agents in security activities, and defining cases where explicit human approval must be obtained.
- Establishing a unified and secure mechanism to report discovered security vulnerabilities to concerned companies and institutions with sufficient speed to avoid malicious exploitation.
- Ensuring the audibility and traceability of all operations carried out by agents to accurately assess liability when any transgressions occur.
- Benefiting from digital and regulatory expertise in government transactions and security legislation to transfer them as an effective regional model in artificial intelligence management.