Browse AI risks

6 entries

1. 30.01.00 · Risk Category

   Reliability

   Generating correct, truthful, and consistent outputs with proper confidence

   From Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)

   Domain 3 3.1 AI Unintentional Post-deployment

2. 30.01.01 · Risk Sub-Category

   Reliability

   Misinformation

   Wrong information not intentionally generated by malicious users to cause harm, but unintentionally generated by LLMs because they lack the ability to provide factually correct information.

   From Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)

   Domain 3 3.1 AI Unintentional Post-deployment

3. 30.01.02 · Risk Sub-Category

   Reliability

   Hallucination

   LLMs can generate content that is nonsensical or unfaithful to the provided source content with appeared great confidence, known as hallucination

   From Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)

   Domain 3 3.1 AI Unintentional Post-deployment

4. 30.01.04 · Risk Sub-Category

   Reliability

   Miscalibration

   over-confidence in topics where objective answers are lacking, as well as in areas where their inherent limitations should caution against LLMs’ uncertainty (e.g. not as accurate as experts)... ack of awareness regarding their outdated knowledge base about the question, leading to confident yet erroneous response

   From Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)

   Domain 3 3.1 AI Unintentional Post-deployment

5. 30.01.05 · Risk Sub-Category

   Reliability

   Sychopancy

   flatter users by reconfirming their misconceptions and stated beliefs

   From Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)

   Domain 3 3.1 AI Intentional Post-deployment

6. 30.07.02 · Risk Sub-Category

   Robustness

   Paradigm & Distribution Shifts

   Knowledge bases that LLMs are trained on continue to shift... questions such as “who scored the most points in NBA history" or “who is the richest person in the world" might have answers that need to be updated over time, or even in real-time

   From Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024)

   Domain 3 3.1 AI Unintentional Post-deployment

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.