The Register: Research reimagines LLMs as tireless tools of torture

May 21, 2025

—

Source URL: https://www.theregister.com/2025/05/21/llm_torture_tools/
Source: The Register
Title: Research reimagines LLMs as tireless tools of torture

Feedly Summary: No need for thumbscrews when your chatbot never lets up
Large language models (LLMs) are not just about assistance and hallucinations. The technology has a darker side.…

AI Summary and Description: Yes

Short Summary with Insight: The text highlights some of the inherent risks associated with large language models (LLMs), moving beyond their functionalities like assistance and user engagement. It suggests a critical examination of LLMs in terms of security and ethical implications, which is particularly relevant to professionals in AI security and information security sectors.

Detailed Description:

The content seems to engage with the duality of LLM technology, emphasizing the complexities of its applications and the underlying risks they pose. The mention of “darker side” points to the potential security and ethical issues that may arise:

– **Assistance vs. Risks**: While LLMs provide significant benefits in terms of user assistance, they also possess risks that need to be addressed.
– **Security Concerns**: As LLMs become more integrated into various applications, their potential misuse or unintended consequences could lead to security vulnerabilities.
– **Ethical Implications**: The mention of hallucinations suggests concerns about the reliability of the model outputs, which can have broader implications for trust and compliance in AI deployment.

Professionals in AI security and information security should consider these points when evaluating the use of LLMs in their organizations:

– **Assessment of Use Cases**: Organizations should critically assess where LLMs are utilized to ensure they serve a responsible purpose without compromising security or ethical standards.
– **Governance Frameworks**: Implementing governance frameworks to oversee the responsible deployment of LLM technology, including adherence to compliance and regulatory standards.
– **Mitigation Strategies**: Develop strategies to mitigate risks associated with AI outputs, including hallucinations or misinformation generated by models.

Considering the rapid evolution of LLM technologies, staying informed on associated security risks and establishing sustainable governance practices is crucial for compliance and security professionals.

1 2 2025 5 a Act AGI AI AI security and API app Application applications Arch art as assessment assistance beyond Bi by C CERN chat Chatbot CI CIA co compliance concerns content crew critical D de deployment dual e end engagement ethical ethical implications ethical issues ethical standards for framework frameworks function g Gen generated GIS Go governance governance framework governance frameworks governance practices H hallucination hallucinations high Highlight http HTTPS implications in information information security issue J Just k l language language model language models large large language model large language models Large Language Models (LLMs) led Li liability llm llms lm M misinformation misuse mitigation mitigation strategies Mode model model outputs models N nation no o of on organization organizations ory oS out output Outputs over point potential professionals Q R rate RCE regulatory regulatory standards. reliability research responsible responsible deployment Risk risks Ro Rust s search sec sector security security concerns security professionals security risk security risks Security Vulnerabilities sequence short side Sig SoC source SSE SSO standards strategies T tech technologies technology terms of use text the to tool tools Tor TP trust under up US use use cases user user engagement V val vulnerabilities Wi x