Autonomous AI Agents have few built-in hazards due to their operational nature.
Unpredictable Actions
As AI models grow more complex, they can develop emergent abilities that were not explicitly programmed. These unintentional results can lead to unexpected and harmful outcomes, such as an agent optimizing server speed by deleting security monitoring software.
Algorithmic Opaqueness
Numerous AI models run as “black boxes”, making it hard to understand how they make decisions or use data. This counteracts accountability and makes it difficult to identify biases that could lead to discriminatory outcomes.