AI Surveillance Prevents Major Poaching Attempt in Odisha's Similipal Sanctuary

An AI system (AI-enabled cameras) was used for real-time surveillance and detection of illegal poachers, which directly led to the prevention of harm to the environment and wildlife in the sanctuary. This constitutes harm to property, communities, or the environment (category d) that was averted due to the AI system's involvement. Since the AI system's use directly led to preventing harm, this qualifies as an AI Incident.

The AI system (AI-enabled cameras) was actively used to monitor and detect illegal poaching activities, which directly prevented harm to wildlife, a form of harm to communities and the environment. The AI system's use led to the arrest of poachers and the seizure of weapons, thereby averting an AI Incident involving harm. Since harm was prevented and the AI system's role was pivotal in this prevention, this event qualifies as an AI Incident due to the direct link between AI use and harm prevention in a critical environmental context.

An AI system was explicitly mentioned as being used for real-time detection and monitoring of poachers. The AI system's outputs directly led to the mobilization of forest personnel and the successful prevention of poaching, which constitutes harm to the environment and wildlife. Therefore, this event involves the use of an AI system that directly led to harm prevention, qualifying it as an AI Incident under the framework's definition of harm to property, communities, or the environment.

An AI system (AI-enabled surveillance cameras with trail guard monitoring) was actively used to detect illegal activity (poaching) and directly led to the prevention of harm to wildlife and the environment. This constitutes harm to property, communities, or the environment (specifically environmental harm). Since the AI system's use directly led to harm prevention and law enforcement action, this qualifies as an AI Incident under the framework.

An AI system (AI-enabled cameras) was actively used to monitor and detect illegal activity, leading to a successful intervention that prevented harm to the environment and wildlife. This constitutes harm prevention through AI use, and since the AI system's use directly led to stopping an illegal and harmful act, it qualifies as an AI Incident under harm to communities or environment (d).

An AI system (AI-enabled cameras with real-time alert capabilities) was used in the sanctuary to detect poachers. The AI system's use directly led to the prevention of poaching, which is harm to wildlife and the environment. Since the AI system's use directly prevented harm, this qualifies as an AI Incident involving harm to communities and the environment.

An AI system (AI cameras) was explicitly mentioned as detecting the poachers' movement and triggering a real-time alert that directly led to the prevention of poaching, which is harm to the environment and wildlife (harm category d). The AI system's use was pivotal in enabling the authorities to act swiftly and foil the poaching attempt. Since the AI system's use directly led to preventing harm, this qualifies as an AI Incident under the framework.

An AI system was explicitly mentioned as detecting the poachers' movement and triggering real-time alerts that led to a swift response and the surrender of the poachers. This use of AI directly prevented harm to wildlife and the environment, which qualifies as harm to communities or the environment under the framework. Therefore, this event constitutes an AI Incident because the AI system's use directly led to harm prevention and law enforcement action against illegal activity.