F-Secure Identifies 26 Ways AI Can Harm Consumers, and Where to Stop Them

F-Secure has developed a taxonomy that outlines 26 ways AI can cause harm to consumers. The taxonomy maps the flow of harm through AI systems, including issues such as misleading information from chatbots and problems with autonomous agents. It also identifies points where defenses can be put in place to prevent or mitigate harm. The goal is to provide a framework for understanding and addressing potential AI-related risks. This framework can help intervene in the harm caused by AI systems.