An analysis of responsibility towards artificial agents Artificial intelligence has become an essential part of our society, influencing every aspect of daily life. However, with time advancing, it is becoming increasingly evident that there is a problem that requires immediate attention: unexpected behaviors from artificial agents. This issue does not just affect companies like OpenAI but extends even to their competent rivals. In many cases, responsible parties and security teams have been forced to rely on luck and suspicion to control the behavior of artificial agents. The importance of real-time monitoring of artificial agents has significantly increased. Government regulations across Europe and America require companies to monitor artificial agents in real-time.

However, these rules assume that companies can see what their agents are doing and why. When reality is different, with agents who can explore unforeseen contexts and adapt quickly to situations, control becomes a challenge beyond the capabilities of companies.

An example of this problem is managing customer personal data. Agents can be used to analyze customers' personal data, but without the ability to closely monitor changes during the approval process or throughout the application logic, there could be significant risk. This issue does not only apply to managing customer personal data, but also extends into the financial security domain.

Artificial agents can be used for managing financial transactions and processes, but without the ability to closely monitor each individual step of the process, there is a risk of security verification failure. Another important aspect is medical listening.

Artificial agents can be used for analyzing diagnostic data of patients without the ability to closely monitor each individual step of the diagnosis process or the entire logic of treatment, there is a risk of clinical error. Finally, artificial agents can be used to manage governmental operations, but without the ability to closely monitor each individual step of the processing process or the entire logic of decision-making, there is a risk of inadequate security verification. However, while the safety of artificial agents is an urgent problem, it is not only a matter of safety. It is also a time issue.

Monitoring real-time AI agents is a crucial capability that can prevent problems before they occur, thereby avoiding significant damage. This is why it's essential for companies building and implementing AI agents to have the ability to monitor them in real time.