Indosat's AI System Blocks 2 Billion Spam and Scam Attempts, Prevents Financial Harm

The AI system is explicitly mentioned and is used to detect and block fraudulent calls and messages, which are forms of digital harm to individuals. The system's use directly leads to the prevention of harm (injury or harm to people through scams and fraud). Therefore, this event involves the use of an AI system that has a direct positive impact in preventing harm, qualifying it as an AI Incident related to harm prevention through AI use.

The article explicitly mentions the use of an AI-based platform to detect and block scam and spam attempts that could cause significant financial harm (up to US$500 million). The AI system's deployment is directly related to preventing these harms, which are realized or ongoing in the environment. Since the AI system is used in the context of preventing harm, and the article discusses the scale of the scam attempts and the AI's role in mitigating them, this qualifies as an AI Incident involving the use of AI to address harm caused by scams. The event is not merely a potential hazard or complementary information but an active incident involving AI use and harm prevention.

The AI system is explicitly mentioned as being used to detect scam calls, messages, and links, which are known to cause financial and emotional harm to individuals. Since the AI system's use is directly linked to preventing these harms, this qualifies as an AI Incident where the AI system's deployment is involved in addressing an existing harm scenario. The article reports realized harm from scams and the AI system's role in mitigating it, not just potential future harm or general AI news. Therefore, this is an AI Incident.

The event involves the use of an AI system designed to detect and prevent digital scams, which are a form of harm to individuals (harm to health and property through fraud). Since the AI system is actively used to mitigate ongoing harms from scams and spam, this constitutes an AI Incident where the AI system's use directly addresses and impacts harm. Although the article focuses on the protective function, the presence of ongoing scam activities causing harm means the AI system's involvement is directly linked to harm prevention, qualifying this as an AI Incident rather than a hazard or complementary information.

The event involves an AI system explicitly mentioned as being used to detect and block scam and spam activities, which are forms of digital fraud causing harm to individuals and communities. The AI system's use has directly led to the prevention of harm by stopping 2.3 million cybercrime actors and blocking 2 billion risky communications. This fits the definition of an AI Incident because the AI system's use has directly led to harm prevention, which is a significant articulated harm (financial and social harm from scams) being addressed. The article does not merely describe potential harm or future risks but reports on realized impact through the AI system's deployment and effectiveness.

An AI system is explicitly mentioned (the AI-based Anti-Spam and Anti-Scam feature developed with Tanla Platforms). The system's use has directly led to harm prevention, specifically preventing financial losses and protecting users from scams and fraud, which are harms to individuals and communities. Since the AI system's use has resulted in the mitigation of harm rather than causing harm, this is not an incident of harm but rather a positive outcome. The article focuses on the system's deployment and effectiveness in preventing harm, which is complementary information about AI's beneficial impact and societal response to digital threats. Therefore, the event is best classified as Complementary Information rather than an AI Incident or Hazard.

The AI system is explicitly mentioned as being used to detect and block spam and scam attempts, which are forms of digital fraud causing financial and social harm. The system's operation has directly prevented these harms, which qualifies as an AI Incident because the AI system's use has led to the mitigation of injury or harm to groups of people (financial harm and social trust). The article does not describe potential or future harm but rather the realized impact of the AI system in preventing harm. Therefore, this event is best classified as an AI Incident.

An AI system is explicitly mentioned as being used to detect and block scam and spam communications, which are known to cause financial harm to individuals. The AI system's use directly addresses ongoing harms from digital scams, which have resulted in substantial monetary losses to consumers. Since the AI system is actively deployed and mitigating real, ongoing harms, this qualifies as an AI Incident under the definition of an event where AI use has directly or indirectly led to harm prevention in a context where harm is occurring or has occurred.

The article explicitly mentions the use of AI technology in detecting and stopping spam and scam activities that cause financial harm to customers. The AI system's deployment has directly led to harm reduction by preventing scams and protecting users from financial losses. Therefore, this event involves the use of an AI system whose operation has directly led to harm mitigation, which qualifies as an AI Incident under the framework because it relates to harm to people and communities (financial harm from scams). Although the article focuses on positive outcomes, the event still involves AI's role in harm and its mitigation, which fits the AI Incident category rather than a hazard or complementary information.

The article explicitly mentions AI systems used by mobile operators to combat scams and spam, indicating AI system involvement. However, the AI systems are described as protective tools preventing harm rather than causing it. There is no indication of harm resulting from the AI systems' development, use, or malfunction. The focus is on the deployment and enhancement of AI features to reduce scam incidents, which aligns with societal and governance responses to AI risks. Hence, the event does not meet the criteria for AI Incident or AI Hazard but fits the definition of Complementary Information.

An AI system is explicitly mentioned as the basis for the anti-scam and anti-spam feature. The system's use has directly led to the prevention of financial harm (potential losses up to US$500 billion) by detecting and blocking scam-related communications. Since the AI system's use has directly prevented harm, this qualifies as an AI Incident under the definition, as the AI system's use has directly led to harm prevention (a form of harm management). The event is not merely a product launch or general news because it reports on the system's active role in harm prevention and detection of scam activities.

The article explicitly mentions an AI system (Wisely Ai) used by Indosat to combat spam and fraud, which involves AI-driven real-time threat filtering. However, the content reports positive outcomes and protective effects, not any harm or risk. There is no mention or implication of injury, rights violations, infrastructure disruption, or other harms caused or potentially caused by the AI system. The main focus is on the successful application and impact of AI, making it complementary information rather than an incident or hazard.

The article explicitly mentions an AI system (Wisely AI) developed and deployed to detect and block spam and scam threats. The system's use has directly prevented harms such as financial loss, data misuse, and disruption to customers, which are harms to persons and communities. The AI system's involvement is in its use to protect customers, and the harm prevented is significant and clearly articulated. This fits the definition of an AI Incident because the AI system's use has directly led to harm mitigation and protection from realized harms. The article does not describe a potential future harm or a hazard, nor is it merely complementary information or unrelated news. Hence, the classification is AI Incident.

The event involves the use of an AI system (Anti-Spam and Anti-Scam feature) that has been deployed and actively used to detect and block spam and scam activities, which are forms of harm to individuals and communities (financial loss, data misuse). The AI system's role is pivotal in preventing these harms. Since the article reports on the realized impact of the AI system in preventing harm, this qualifies as an AI Incident under the framework, as the AI system's use has directly led to harm prevention and protection against significant harms. Although the harm prevented is positive, the framework includes harms caused or prevented by AI systems, and this is a clear case of AI involvement in harm mitigation. The article does not describe a hazard or complementary information but a concrete deployment and impact of an AI system addressing harms.

The AI system is explicitly mentioned as the core technology behind the anti-spam and anti-scam feature. Its use has directly prevented harms including financial loss, fraud, and data misuse, which fall under harm to property and violation of rights. Since the AI system's deployment has already led to these protective outcomes, this qualifies as an AI Incident rather than a hazard or complementary information. The article focuses on the realized positive impact of the AI system in preventing harm, not just potential or future risks.

The article explicitly mentions the use of an AI system designed to detect and block spam and scam communications, which are forms of digital fraud causing financial and informational harm to individuals. The AI system's use has directly led to preventing these harms, protecting customers from injury to their financial well-being and potential violations of their rights as consumers. Since the AI system's deployment has resulted in realized harm prevention and protection, this qualifies as an AI Incident rather than a hazard or complementary information.

The article explicitly mentions an AI system (Wisely Ai) analyzing billions of communications and identifying billions of spam and scam interactions, preventing estimated financial losses. This demonstrates the AI system's use in harm prevention, directly impacting user safety and financial security. Since the AI system's deployment has led to the prevention of harm (financial losses from scams), this qualifies as an AI Incident under the definition of harm to persons or communities. The event is not merely a product announcement but reports real-world outcomes and harm prevention due to AI use.

An AI system (Wisely Ai) is explicitly mentioned and is used operationally to detect and block scam and spam communications, which directly prevents financial harm to users. The AI's role is pivotal in protecting 100 million users from over 2 billion scam and spam communications, thus directly mitigating harm. This fits the definition of an AI Incident because the AI system's use has directly led to harm prevention and protection of users' financial interests, which is a form of harm to persons (financial harm).

The article explicitly mentions the use of an AI system (Wisely Ai) that analyzes billions of communications to detect and block spam and scam interactions, preventing estimated financial losses and protecting 100 million users. This use of AI directly leads to harm prevention (financial harm and harm to users from scams), which qualifies as an AI Incident under the framework since the AI system's use has directly led to preventing harm and protecting users. The event is not merely about potential harm or future risks, but about realized impact and harm mitigation through AI deployment.

The article explicitly mentions the use of an AI system (Wisely Ai) that analyzes communications and prevents financial losses from scams and spam. The AI system's use has directly led to harm prevention (financial losses from scams), which is a form of harm to persons' financial well-being. Since the harm is prevented and the article focuses on the positive impact and success of the AI system rather than any harm caused, this does not qualify as an AI Incident. There is no indication of plausible future harm or risk from the AI system's use, so it is not an AI Hazard. The article primarily provides complementary information about the AI system's deployment, effectiveness, and societal impact, which enhances understanding of AI's role in digital security.

The article explicitly mentions the use of an AI system (Wisely Ai) integrated into the telecom network and mobile applications to proactively and in real-time protect over 100 million users from scam and spam communications. The AI system's use directly prevents harm to users by filtering threats before they impact customers, which aligns with harm to communities and individuals. Since the AI system's use has led to realized harm prevention, this qualifies as an AI Incident rather than a hazard or complementary information. The article focuses on the impact and outcomes of the AI system's deployment rather than just announcing the product or discussing future risks.

The article explicitly mentions an AI system (Wisely Ai) deployed at scale to analyze billions of communications and identify spam and scam interactions, preventing estimated financial losses of USD 500 billion. The AI system's use directly prevents harm to users by blocking malicious communications, which is a clear case of harm related to AI use. Since the AI system's deployment has led to the mitigation of significant harms (financial scams and spam), this qualifies as an AI Incident rather than a hazard or complementary information. The event is not merely about AI development or potential harm but about realized impact in harm prevention through AI use.

The article explicitly mentions the use of an AI system (Wisely Ai) integrated into the telecom network and mobile applications to filter and block scam and spam communications in real time. This AI system's use directly prevents harm to users by protecting them from scams and spam, which are forms of harm to individuals and communities. Since the AI system's deployment has led to realized harm prevention rather than harm occurrence, this does not qualify as an AI Incident or AI Hazard. The article focuses on the positive impact and outcomes of the AI system's use, which aligns with Complementary Information as it provides supporting data and context about AI's beneficial role in the ecosystem.

The article explicitly mentions the use of an AI system to detect and block scam calls, messages, and links, which directly prevents harms such as financial loss and business disruption. Since the AI system's use has directly led to the mitigation of these harms, this qualifies as an AI Incident under the framework, as the AI system's use has directly led to harm prevention and protection of human and economic well-being. The event is not merely a potential risk or a complementary update but a realized impact of AI use in preventing harm.

The AI system is explicitly mentioned and is used operationally to detect and block scam and spam communications, which directly prevents financial harm to users and protects their digital security. This constitutes a direct use of AI leading to harm prevention, which aligns with the definition of an AI Incident as the AI system's use has directly led to the mitigation of harm (financial losses and scam impacts). Therefore, this event qualifies as an AI Incident due to the AI system's pivotal role in preventing significant harm to a large user base.

An AI system is explicitly mentioned as being used to detect and block spam and scam calls, messages, and links. The system's use has directly led to harm prevention by stopping risky communications that could cause financial or informational harm to users. Therefore, this event involves the use of an AI system that has directly led to harm mitigation, qualifying it as an AI Incident.

The article explicitly mentions the use of an AI system (Wisely Ai) integrated into the telecom network and mobile applications to proactively detect and block scam and spam communications. This use of AI directly prevents harm to users by reducing exposure to scams and spam, which are forms of harm to communities and individuals. Since the AI system's deployment has resulted in real-world harm mitigation, this qualifies as an AI Incident under the framework, as the AI system's use has directly led to harm reduction (a positive outcome of preventing harm).