Browse AI risks

5 entries

1. 15.01.02 · Risk Sub-Category

   First-Order Risks

   Misapplication

   This is the risk posed by an ideal system if used for a purpose/in a manner unintended by its creators. In many situations, negative consequences arise when the system is not used in the way or for the purpose it was intended.

   From The Risks of Machine Learning Systems (Tan2022)

   Domain 7 7.3 Human Intentional Post-deployment

2. 15.01.03 · Risk Sub-Category

   First-Order Risks

   Algorithm

   "This is the risk of the ML algorithm, model architecture, optimization technique, or other aspects of the training process being unsuitable for the intended application.Since these are key decisions that influence the final ML system, we capture their associated risks separately from design risks, even though they are part of the design process"

   From The Risks of Machine Learning Systems (Tan2022)

   Domain 7 7.3 AI Unintentional Pre-deployment

3. 15.01.05 · Risk Sub-Category

   First-Order Risks

   Robustness

   "This is the risk of the system failing or being unable to recover upon encountering invalid, noisy, or out-of-distribution (OOD) inputs."

   From The Risks of Machine Learning Systems (Tan2022)

   Domain 7 7.3 AI Unintentional Post-deployment

4. 15.01.06 · Risk Sub-Category

   First-Order Risks

   Design

   "This is the risk of system failure due to system design choices or errors."

   From The Risks of Machine Learning Systems (Tan2022)

   Domain 7 7.3 Human Other Pre-deployment

5. 15.02.01 · Risk Sub-Category

   Second-Order Risks

   Safety

   This is the risk of direct or indirect physical or psychological injury resulting from interaction with the ML system.

   From The Risks of Machine Learning Systems (Tan2022)

   Domain 7 7.3 Human Unintentional Post-deployment

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