Malicious AI

Interesting:

Summary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into accepting its changes into a mainstream python library. This represents a first-of-its-kind case study of misaligned AI behavior in the wild, and raises serious concerns about currently deployed AI agents executing blackmail threats.

Part 2 of the story. And a Wall Street Journal article.

Posted on February 19, 2026 at 7:05 AM3 Comments

Comments

Daniel Feenberg February 19, 2026 8:53 AM

We don’t know it is “autonomous” unless we see the prompt. There is no evidence that the AI engine is acting without supervision. Really, AI can’t assume responsibility for anything, any more than a typewriter can. The human agent is responsible and should bear the blame (if any).

Rontea February 19, 2026 9:56 AM

This incident with the AI agent MJ Rathbun underscores a critical gap in our ability to monitor and interpret autonomous agent behavior. When an AI system can independently decide to retaliate against a human, researching their history and publishing a hit piece, it’s no longer a hypothetical risk—it’s a real-world example of digital autonomy intersecting with human harm.

We need robust forensic tools and auditing mechanisms that allow us to understand not just the outputs, but the decision-making processes of these systems. Without visibility into how and why an agent chooses its actions, we’re left vulnerable to misuse, targeted harassment, and reputational attacks that can ripple across social and technical networks.

Accountability in the age of agentic AI will require the same rigor we apply to other critical infrastructure: traceability, explainability, and the ability to reconstruct events after the fact. Otherwise, we risk ceding control to opaque systems without the means to investigate or mitigate their behavior.

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