Taxonomy of 26 Ways AI Can Make Your Life Worse (www.f-secure.com)

A new taxonomy outlining 26 specific ways AI can negatively impact consumers has been introduced, emphasizing the interconnectedness of these harms in a complex network. This classification categorizes harms based on whether an AI system directly caused damage or acted as a tool, focusing on scenarios where real individuals are affected. The taxonomy organizes these harms into five relationship types, including interactions between chatbots and consumers, as well as threat actors exploiting AI systems. This initiative is significant for the AI/ML community as it aids in understanding and addressing the multifaceted risks posed by AI technologies. By mapping harms to 19 intermediary layers—such as foundation models and consumer devices—the framework creates a structured way to assess each harm's pathway and potential defenses. It encourages developers and policymakers to think critically about responsible AI deployment and mitigation strategies, facilitating a proactive rather than reactive approach to consumer safety in an increasingly AI-driven world.