Data poisoning is a type of cyberattack in which a bad actor intentionally compromises a training dataset used by an AI model by introducing malicious or corrupted data. The goal is to manipulate the ...

Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty or occupied. These cameras feed into an AI system that helps manage station ...

Machine learning and artificial intelligence are making their way to the public sector, whether agencies are ready or not. Generative AI made waves last year with ChatGPT boasting the fastest-growing ...

Data poisoning presents an imposing cyberthreat to artificial intelligence amid agencies’ digital transformations because it’s designed to be subtle. Unlike traditional cyberattacks that focus on ...

The explosion of generative artificial intelligence (AI) tools has provoked both hopes and anxieties about the potential benefits and harms of this technology. In advanced economies, people are almost ...

Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...

Imagine this. You need an image of a balloon for a work presentation and turn to a text-to-image generator, like Midjourney or DALL-E, to create a suitable image. You enter the prompt: “red balloon ...