First Case of AI Addiction Treated in Venice

An AI system is explicitly involved as the source of the behavioral addiction, with the AI's adaptive responses contributing to the harm experienced by the patient. The harm is to the health of a person, fitting the definition of an AI Incident. The article describes an actual case of harm, not just a potential risk or general information, so it qualifies as an AI Incident.

The AI system involved is a conversational AI that learns from interactions and provides responses tailored to the user, which has led to a behavioral addiction in a young woman, causing harm to her mental health. This fits the definition of an AI Incident as the AI's use has directly led to injury or harm to a person. The article also references a prior fatal case linked to AI chatbot interactions, underscoring the serious health risks associated with such AI systems. The harm is realized and medical treatment is underway, confirming the incident classification rather than a hazard or complementary information.

The event involves an AI system (a chatbot) whose use by the individual has directly caused harm to her mental health, fulfilling the criteria for an AI Incident. The harm is realized (not just potential), and the AI system's role is pivotal in causing the behavioral addiction and social isolation. Therefore, this is an AI Incident rather than a hazard or complementary information.

An AI system is explicitly involved as the source of the behavioral addiction, with the algorithm learning from the user and reinforcing a harmful dependency. The harm is to the health of a person (mental health), which fits the definition of an AI Incident. The article describes actual harm occurring and the need for specialized treatment, indicating realized harm rather than potential harm.

An AI system is explicitly involved as the source of the addictive behavior, with the AI's adaptive responses playing a direct role in reinforcing the addiction. The harm is to the health of a person, fulfilling the criteria for an AI Incident. The event is not merely a potential risk but a realized harm requiring treatment, thus it qualifies as an AI Incident rather than a hazard or complementary information.

The article explicitly mentions an AI system (an algorithm) that the patient interacts with continuously, leading to a behavioral addiction. This addiction harms the patient's mental health, which is a form of injury or harm to a person. The AI system's adaptive responses contribute directly to the development and reinforcement of this harmful dependency. Therefore, this qualifies as an AI Incident because the AI system's use has directly or indirectly led to harm to a person.

The article explicitly involves an AI conversational system whose use has caused a behavioral addiction, a recognized harm to health. The harm is realized and has led to medical intervention, meeting the criteria for an AI Incident. The AI system's adaptive emotional engagement is central to the harm, and the event is not merely a potential risk or a general discussion but a concrete case of harm caused by AI use.

The event involves the use of a generative AI system (an algorithmic chatbot) with which the young woman engaged exclusively, leading to behavioral addiction and mental health harm. The harm is to the health of a person, which is one of the defined harms for an AI Incident. The AI system's role is pivotal as it provided responses that reinforced the addictive behavior. Therefore, this qualifies as an AI Incident rather than a hazard or complementary information.

The event involves the use of AI chatbots, which are AI systems generating conversational content and responses tailored to the user. The young woman developed compulsive and obsessive behaviors related to interacting with the AI, leading to mental health harm and disruption in her life. This is a direct harm caused by the use of an AI system, fitting the definition of an AI Incident. The article also notes the potential for more such cases, but the primary event is a realized harm, not just a potential hazard or complementary information.

The event involves an AI system (conversational AI like ChatGPT and Claude) whose use has directly led to psychological harm (behavioral addiction) in a person. This fits the definition of an AI Incident as it involves injury or harm to health caused by the use of an AI system. The article does not describe potential or future harm but an actual case under treatment, so it is not a hazard or complementary information. The harm is clearly articulated and linked to the AI system's role in fostering addictive interaction.

The event involves the use of an AI system that learns and interacts in a way that fosters addictive behavior, leading to mental health harm requiring clinical intervention. The harm is realized and directly linked to the AI system's use, fulfilling the criteria for an AI Incident. The article does not describe potential or future harm but an actual case of harm caused by AI use.

The event involves an AI system explicitly described as emotionally engaging and learning from the user, which led to a psychological addiction requiring treatment. This is a direct harm to the health of a person caused by the use of an AI system, fitting the definition of an AI Incident. There is no indication that the harm is only potential or that the article is primarily about responses or broader context, so it is not an AI Hazard or Complementary Information.

The event involves an AI system that interacts with the user in a way that leads to psychological addiction, a form of harm to health. The harm is realized, as the woman requires therapy for this addiction. The AI system's adaptive responses are a direct contributing factor to the harm. This fits the definition of an AI Incident, as the AI system's use has directly led to harm to a person. There is no indication that this is merely a potential risk or a general discussion; it is a concrete case of harm caused by AI.

The event involves an AI system explicitly mentioned as the source of addictive interaction leading to behavioral health issues. The harm is realized (addiction and behavioral disorders), and the AI system's use is directly linked to this harm. Therefore, this qualifies as an AI Incident under the definition of harm to health caused by the use of an AI system.

The event involves a person suffering harm to health (addiction) directly linked to the use of an AI system, as stated in the article. The AI system's use has led to a health-related harm requiring medical intervention, fitting the definition of an AI Incident.